diff --git "a/graphify-out/graph.html" "b/graphify-out/graph.html"
--- "a/graphify-out/graph.html"
+++ "b/graphify-out/graph.html"
@@ -57,12 +57,12 @@
     </div>
     <div id="legend"></div>
   </div>
-  <div id="stats">1050 nodes &middot; 1833 edges &middot; 70 communities</div>
+  <div id="stats">1065 nodes &middot; 1859 edges &middot; 72 communities</div>
 </div>
 <script>
-const RAW_NODES = [{"id": "server_py", "label": "server.py", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 40.0, "font": {"size": 12, "color": "#ffffff"}, "title": "server.py", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 70}, {"id": "videovoice_be_server_default_artifacts_root", "label": "_default_artifacts_root()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "_default_artifacts_root()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 1}, {"id": "videovoice_be_server_parse_allowed_origins", "label": "_parse_allowed_origins()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "_parse_allowed_origins()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 1}, {"id": "videovoice_be_server_download_url", "label": "_download_url()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_download_url()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 3}, {"id": "videovoice_be_server_is_allowed_video_host", "label": "_is_allowed_video_host()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_is_allowed_video_host()", "community": 14, "community_name": "Community 14", "source_file": "server.py", "file_type": "code", "degree": 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"highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_artifact_reaper_loop()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 3}, {"id": "videovoice_be_server_enforce_content_length_limit", "label": "enforce_content_length_limit()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "enforce_content_length_limit()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 5}, {"id": "videovoice_be_server_run_pipeline_async", "label": "_run_pipeline_async()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "_run_pipeline_async()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 5}, {"id": "videovoice_be_server_health", "label": "health()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "health()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 3}, {"id": "videovoice_be_server_config", "label": "config()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "config()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 5}, {"id": "videovoice_be_server_list_demo_videos", "label": "list_demo_videos()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": 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"source_file": "social_distributor/poster/video_loader.py", "file_type": "code", "degree": 5}, {"id": "video_loader_load_videos", "label": "load_videos()", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "load_videos()", "community": 2, "community_name": "Community 2", "source_file": "social_distributor/poster/video_loader.py", "file_type": "code", "degree": 5}, {"id": "video_loader_rationale_1", "label": "Load and validate VideoVoice data folders into VideoData objects.", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "Load and validate VideoVoice data folders into VideoData objects.", "community": 2, "community_name": "Community 2", "source_file": "social_distributor/poster/video_loader.py", "file_type": "rationale", 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"source_file": "social_distributor/poster/post_log.py", "file_type": "code", "degree": 3}, {"id": "post_log_rationale_1", "label": "JSON-based posting history for deduplication.", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "JSON-based posting history for deduplication.", "community": 2, "community_name": "Community 2", "source_file": "social_distributor/poster/post_log.py", "file_type": "rationale", "degree": 2}, {"id": "social_distributor_poster_platforms_youtube_py", "label": "youtube.py", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "youtube.py", "community": 2, "community_name": "Community 2", "source_file": "social_distributor/poster/platforms/youtube.py", "file_type": "code", "degree": 4}, {"id": 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Mirrors prod", "community": 13, "community_name": "Community 13", "source_file": "fine_tuning/scripts/build_dataset.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_build_dataset_rationale_195", "label": "Load ChatterboxMultilingualTTS once for the whole run.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Load ChatterboxMultilingualTTS once for the whole run.", "community": 13, "community_name": "Community 13", "source_file": "fine_tuning/scripts/build_dataset.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_build_dataset_rationale_206", "label": "Run Chatterbox on one segment, save WAV. Returns duration in seconds.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Run Chatterbox on one segment, save WAV. Returns duration in seconds.", "community": 13, "community_name": "Community 13", "source_file": "fine_tuning/scripts/build_dataset.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_build_dataset_rationale_233", "label": "Accept 'en' or 'English' \u2192 'en'.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Accept &#x27;en&#x27; or &#x27;English&#x27; \u2192 &#x27;en&#x27;.", "community": 13, "community_name": "Community 13", "source_file": "fine_tuning/scripts/build_dataset.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_build_dataset_rationale_242", "label": "Ensure a clean (auto-language) transcription.json exists in samples/<job>/.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Ensure a clean (auto-language) transcription.json exists in samples/&lt;job&gt;/.", "community": 13, "community_name": "Community 13", "source_file": "fine_tuning/scripts/build_dataset.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_build_dataset_rationale_268", "label": "Build dataset for a single job. Returns number of samples produced.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Build dataset for a single job. Returns number of samples produced.", "community": 13, "community_name": "Community 13", "source_file": "fine_tuning/scripts/build_dataset.py", "file_type": "rationale", "degree": 1}, {"id": "fine_tuning_scripts_eval_py", "label": "eval.py", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 13.4, "font": {"size": 0, "color": "#ffffff"}, "title": "eval.py", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "code", "degree": 8}, {"id": "scripts_eval_pick_held_out_samples", "label": "pick_held_out_samples()", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "pick_held_out_samples()", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "code", "degree": 3}, {"id": "scripts_eval_synthesise", "label": "synthesise()", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "synthesise()", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "code", "degree": 3}, {"id": "scripts_eval_load_with_lora", "label": "load_with_lora()", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "load_with_lora()", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "code", "degree": 3}, {"id": "scripts_eval_load_baseline", "label": "load_baseline()", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "load_baseline()", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "code", "degree": 2}, {"id": "scripts_eval_evaluate", "label": "evaluate()", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "evaluate()", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "code", "degree": 5}, {"id": "scripts_eval_print_summary", "label": "print_summary()", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "print_summary()", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "code", "degree": 2}, {"id": "scripts_eval_main", "label": "main()", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 12.6, "font": {"size": 0, "color": "#ffffff"}, "title": "main()", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "code", "degree": 6}, {"id": "scripts_eval_rationale_1", "label": "eval.py \u2014 Evaluate the fine-tuned LoRA against the un-tuned baseline.  Picks N s", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "eval.py \u2014 Evaluate the fine-tuned LoRA against the un-tuned baseline.  Picks N s", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_eval_rationale_39", "label": "Return overshoot samples (duration_diff > 0.2) \u2014 these are NOT in the     asymme", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Return overshoot samples (duration_diff &gt; 0.2) \u2014 these are NOT in the     asymme", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_eval_rationale_54", "label": "Generate one segment, return duration in seconds.", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Generate one segment, return duration in seconds.", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_eval_rationale_73", "label": "Load the base Chatterbox model and merge in a LoRA checkpoint.", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Load the base Chatterbox model and merge in a LoRA checkpoint.", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_eval_rationale_92", "label": "Run the model on each sample, save the WAV, return a result row per sample.", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Run the model on each sample, save the WAV, return a result row per sample.", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "rationale", "degree": 1}, {"id": "fine_tuning_scripts_train_lora_py", "label": "train_lora.py", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 12.6, "font": {"size": 0, "color": "#ffffff"}, "title": "train_lora.py", "community": 15, "community_name": "Community 15", "source_file": "fine_tuning/scripts/train_lora.py", "file_type": "code", "degree": 6}, {"id": "scripts_train_lora_compute_loss", "label": "compute_loss()", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "compute_loss()", "community": 15, "community_name": "Community 15", "source_file": "fine_tuning/scripts/train_lora.py", "file_type": "code", "degree": 3}, {"id": "scripts_train_lora_load_dataset", "label": "load_dataset()", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "load_dataset()", "community": 15, "community_name": "Community 15", "source_file": "fine_tuning/scripts/train_lora.py", "file_type": "code", "degree": 4}, {"id": "scripts_train_lora_attach_lora", "label": "attach_lora()", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "attach_lora()", "community": 15, "community_name": "Community 15", "source_file": "fine_tuning/scripts/train_lora.py", "file_type": "code", "degree": 5}, {"id": "scripts_train_lora_freeze_non_lora", "label": "freeze_non_lora()", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "freeze_non_lora()", "community": 15, "community_name": "Community 15", "source_file": "fine_tuning/scripts/train_lora.py", "file_type": "code", "degree": 5}, {"id": "scripts_train_lora_main", "label": "main()", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 13.0, "font": {"size": 0, "color": "#ffffff"}, "title": "main()", "community": 15, "community_name": "Community 15", "source_file": "fine_tuning/scripts/train_lora.py", "file_type": "code", "degree": 7}, {"id": "scripts_train_lora_rationale_1", "label": "train_lora.py \u2014 LoRA fine-tune of Chatterbox T3 (the LLaMA-520M speech-token dec", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "train_lora.py \u2014 LoRA fine-tune of Chatterbox T3 (the LLaMA-520M speech-token dec", "community": 15, "community_name": "Community 15", "source_file": "fine_tuning/scripts/train_lora.py", "file_type": "rationale", "degree": 2}, {"id": "scripts_train_lora_rationale_35", "label": "Replacement for T3.loss(): the upstream version calls F.cross_entropy     on (B,", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Replacement for T3.loss(): the upstream version calls F.cross_entropy     on (B,", "community": 15, "community_name": "Community 15", "source_file": "fine_tuning/scripts/train_lora.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_train_lora_rationale_74", "label": "Load training rows.      `only_good=True` applies the asymmetric dubbing filter:", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Load training rows.      `only_good=True` applies the asymmetric dubbing filter:", "community": 15, "community_name": "Community 15", "source_file": "fine_tuning/scripts/train_lora.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_train_lora_rationale_90", "label": "Attach LoRA adapters to T3.tfmr (the LLaMA backbone).", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Attach LoRA adapters to T3.tfmr (the LLaMA backbone).", "community": 15, "community_name": "Community 15", "source_file": "fine_tuning/scripts/train_lora.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_train_lora_rationale_112", "label": "Freeze everything except LoRA adapters in tfmr.", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Freeze everything except LoRA adapters in tfmr.", "community": 15, "community_name": "Community 15", "source_file": "fine_tuning/scripts/train_lora.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_subtitles_py", "label": "subtitles.py", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 16.0, "font": {"size": 12, "color": "#ffffff"}, "title": "subtitles.py", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 14}, {"id": "tools_api_subtitles_is_video", "label": "_is_video()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "_is_video()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 2}, {"id": "tools_api_subtitles_extract_audio", "label": "_extract_audio()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_extract_audio()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 3}, {"id": "tools_api_subtitles_resolve_lang", "label": "_resolve_lang()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "_resolve_lang()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 2}, {"id": "tools_api_subtitles_seg_text", "label": "_seg_text()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_seg_text()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 4}, {"id": "tools_api_subtitles_format_timestamp_srt", "label": "_format_timestamp_srt()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_format_timestamp_srt()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 3}, {"id": "tools_api_subtitles_format_timestamp_vtt", "label": "_format_timestamp_vtt()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_format_timestamp_vtt()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 3}, {"id": "tools_api_subtitles_write_srt", "label": "write_srt()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "write_srt()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 4}, {"id": "tools_api_subtitles_write_vtt", "label": "write_vtt()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "write_vtt()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 4}, {"id": "tools_api_subtitles_write_txt", "label": "write_txt()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "write_txt()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 3}, {"id": "tools_api_subtitles_clamp", "label": "_clamp()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "_clamp()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 2}, {"id": "tools_api_subtitles_force_style_for", "label": "_force_style_for()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_force_style_for()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 4}, {"id": "tools_api_subtitles_burn_in", "label": "_burn_in()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_burn_in()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 4}, {"id": "tools_api_subtitles_generate_subtitles", "label": "generate_subtitles()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 14.7, "font": {"size": 12, "color": "#ffffff"}, "title": "generate_subtitles()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 11}, {"id": "tools_api_subtitles_rationale_1", "label": "Subtitle generation: sidecar files (.srt/.vtt/.txt) and burn-in MP4.  Reuses ste", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Subtitle generation: sidecar files (.srt/.vtt/.txt) and burn-in MP4.  Reuses ste", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_subtitles_rationale_43", "label": "Pull a 16kHz mono WAV from the input \u2014 what whisper expects.", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Pull a 16kHz mono WAV from the input \u2014 what whisper expects.", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_subtitles_rationale_144", "label": "Return an ffmpeg `subtitles=...:force_style='...'` string.      Args:         st", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Return an ffmpeg `subtitles=...:force_style=&#x27;...&#x27;` string.      Args:         st", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_subtitles_rationale_197", "label": "Render captions into the video pixels via ffmpeg + libass.", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Render captions into the video pixels via ffmpeg + libass.", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_subtitles_rationale_234", "label": "Run the full subtitle pipeline. Returns:       {         \"format\": \"srt\" | \"vtt\"", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Run the full subtitle pipeline. Returns:       {         &quot;format&quot;: &quot;srt&quot; | &quot;vtt&quot;", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_voice_clone_py", "label": "voice_clone.py", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 13.0, "font": {"size": 0, "color": "#ffffff"}, "title": "voice_clone.py", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "code", "degree": 7}, {"id": "tools_api_voice_clone_prepare_sample", "label": "_prepare_sample()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_prepare_sample()", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "code", "degree": 3}, {"id": "tools_api_voice_clone_isolate_vocals", "label": "_isolate_vocals()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_isolate_vocals()", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "code", "degree": 4}, {"id": "tools_api_voice_clone_split_text", "label": "_split_text()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_split_text()", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "code", "degree": 3}, {"id": "tools_api_voice_clone_build_segments", "label": "_build_segments()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_build_segments()", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "code", "degree": 3}, {"id": "tools_api_voice_clone_concat_wavs_to_mp3", "label": "_concat_wavs_to_mp3()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_concat_wavs_to_mp3()", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "code", "degree": 3}, {"id": "tools_api_voice_clone_clone_voice", "label": "clone_voice()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 13.4, "font": {"size": 0, "color": "#ffffff"}, "title": "clone_voice()", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "code", "degree": 8}, {"id": "tools_api_voice_clone_rationale_1", "label": "Voice clone playground \u2014 single-engine TTS from a sample + text input.  This Spa", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Voice clone playground \u2014 single-engine TTS from a sample + text input.  This Spa", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_voice_clone_rationale_24", "label": "Convert any uploaded sample (audio or video) to a clean 24kHz mono WAV.      TTS", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Convert any uploaded sample (audio or video) to a clean 24kHz mono WAV.      TTS", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_voice_clone_rationale_49", "label": "Run Demucs source separation on the prepared sample and return a     vocals-only", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Run Demucs source separation on the prepared sample and return a     vocals-only", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_voice_clone_rationale_92", "label": "Split into chunks of ~CHUNK_TARGET_CHARS at sentence then word boundaries.", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Split into chunks of ~CHUNK_TARGET_CHARS at sentence then word boundaries.", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_voice_clone_rationale_134", "label": "Construct segment dicts for synthesise_segments \u2014 fake timing windows.", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Construct segment dicts for synthesise_segments \u2014 fake timing windows.", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_voice_clone_rationale_152", "label": "Concat in order via ffmpeg concat demuxer, then encode MP3.", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Concat in order via ffmpeg concat demuxer, then encode MP3.", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_voice_clone_rationale_193", "label": "Run TTS on `text` using the voice from `sample_path`. Returns:       {         \"", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Run TTS on `text` using the voice from `sample_path`. Returns:       {         &quot;", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_init_py", "label": "__init__.py", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "__init__.py", "community": 14, "community_name": "Community 14", "source_file": "tools_api/__init__.py", "file_type": "code", "degree": 2}, {"id": "tools_api_init_rationale_1", "label": "tools_api \u2014 Standalone endpoints for creator quick tools.  Lives alongside the m", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "tools_api \u2014 Standalone endpoints for creator quick tools.  Lives alongside the m", "community": 14, "community_name": "Community 14", "source_file": "tools_api/__init__.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_storage_py", "label": "storage.py", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 13.0, "font": {"size": 0, "color": "#ffffff"}, "title": "storage.py", "community": 14, "community_name": "Community 14", "source_file": "tools_api/storage.py", "file_type": "code", "degree": 7}, {"id": "tools_api_storage_new_run_dir", "label": "new_run_dir()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "new_run_dir()", "community": 14, "community_name": "Community 14", "source_file": "tools_api/storage.py", "file_type": "code", "degree": 5}, {"id": "tools_api_storage_run_dir", "label": "run_dir()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "run_dir()", "community": 14, "community_name": "Community 14", "source_file": "tools_api/storage.py", "file_type": "code", "degree": 3}, {"id": "tools_api_storage_file_url", "label": "file_url()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "file_url()", "community": 14, "community_name": "Community 14", "source_file": "tools_api/storage.py", "file_type": "code", "degree": 5}, {"id": "tools_api_storage_safe_filename", "label": "safe_filename()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "safe_filename()", "community": 14, "community_name": "Community 14", "source_file": "tools_api/storage.py", "file_type": "code", "degree": 4}, {"id": "tools_api_storage_reap_old_runs", "label": "reap_old_runs()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "reap_old_runs()", "community": 14, "community_name": "Community 14", "source_file": "tools_api/storage.py", "file_type": "code", "degree": 2}, {"id": "tools_api_storage_rationale_1", "label": "Per-run temp storage for tools_api.  Each tool request creates a fresh dir under", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Per-run temp storage for tools_api.  Each tool request creates a fresh dir under", "community": 14, "community_name": "Community 14", "source_file": "tools_api/storage.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_storage_rationale_30", "label": "Allocate a fresh per-request directory. Returns (run_id, path).", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Allocate a fresh per-request directory. Returns (run_id, path).", "community": 14, "community_name": "Community 14", "source_file": "tools_api/storage.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_storage_rationale_38", "label": "Resolve a run_id to its directory, or None if missing/invalid.", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Resolve a run_id to its directory, or None if missing/invalid.", "community": 14, "community_name": "Community 14", "source_file": "tools_api/storage.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_storage_rationale_48", "label": "Construct the public download URL for an artifact.", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Construct the public download URL for an artifact.", "community": 14, "community_name": "Community 14", "source_file": "tools_api/storage.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_storage_rationale_53", "label": "Strip path separators and dangerous chars from a user-supplied name.", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Strip path separators and dangerous chars from a user-supplied name.", "community": 14, "community_name": "Community 14", "source_file": "tools_api/storage.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_storage_rationale_61", "label": "Delete tool run dirs older than RUN_TTL_SECONDS. Returns count removed.", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Delete tool run dirs older than RUN_TTL_SECONDS. Returns count removed.", "community": 14, "community_name": "Community 14", "source_file": "tools_api/storage.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_router_py", "label": "router.py", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 14.3, "font": {"size": 0, "color": "#ffffff"}, "title": "router.py", "community": 14, "community_name": "Community 14", "source_file": "tools_api/router.py", "file_type": "code", "degree": 10}, {"id": "tools_api_router_save_upload", "label": "_save_upload()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 12.6, "font": {"size": 0, "color": "#ffffff"}, "title": "_save_upload()", "community": 14, "community_name": "Community 14", "source_file": "tools_api/router.py", "file_type": "code", "degree": 6}, {"id": "tools_api_router_ext_to_media_type", "label": "_ext_to_media_type()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "_ext_to_media_type()", "community": 14, "community_name": "Community 14", "source_file": "tools_api/router.py", "file_type": "code", "degree": 2}, {"id": "tools_api_router_subtitles_endpoint", "label": "subtitles_endpoint()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "subtitles_endpoint()", "community": 14, "community_name": "Community 14", "source_file": "tools_api/router.py", "file_type": "code", "degree": 5}, {"id": "tools_api_router_voice_clone_endpoint", "label": "voice_clone_endpoint()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "voice_clone_endpoint()", "community": 14, "community_name": "Community 14", "source_file": "tools_api/router.py", "file_type": "code", "degree": 4}, {"id": "tools_api_router_audio_cleanup_endpoint", "label": "audio_cleanup_endpoint()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "audio_cleanup_endpoint()", "community": 14, "community_name": "Community 14", "source_file": "tools_api/router.py", "file_type": "code", "degree": 4}, {"id": "tools_api_router_tools_file", "label": "tools_file()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "tools_file()", "community": 14, "community_name": "Community 14", "source_file": "tools_api/router.py", "file_type": "code", "degree": 5}, {"id": "tools_api_router_reap", "label": "_reap()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "_reap()", "community": 14, "community_name": "Community 14", "source_file": "tools_api/router.py", "file_type": "code", "degree": 2}, {"id": "tools_api_router_rationale_1", "label": "APIRouter for /api/tools/* endpoints.  Each endpoint is sync request-response (n", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "APIRouter for /api/tools/* endpoints.  Each endpoint is sync request-response (n", "community": 14, "community_name": "Community 14", "source_file": "tools_api/router.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_router_rationale_37", "label": "Stream upload to disk, enforcing the tools size cap.", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Stream upload to disk, enforcing the tools size cap.", "community": 14, "community_name": "Community 14", "source_file": "tools_api/router.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_router_rationale_222", "label": "Serve a generated artifact. Run dirs auto-expire after RUN_TTL_SECONDS.", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Serve a generated artifact. Run dirs auto-expire after RUN_TTL_SECONDS.", "community": 14, "community_name": "Community 14", "source_file": "tools_api/router.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_router_rationale_246", "label": "Manual reap trigger (mostly for testing). Auto-reap runs on a timer.", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Manual reap trigger (mostly for testing). Auto-reap runs on a timer.", "community": 14, "community_name": "Community 14", "source_file": "tools_api/router.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_audio_cleanup_py", "label": "audio_cleanup.py", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "audio_cleanup.py", "community": 11, "community_name": "Community 11", "source_file": "tools_api/audio_cleanup.py", "file_type": "code", "degree": 5}, {"id": "tools_api_audio_cleanup_ensure_audio", "label": "_ensure_audio()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_ensure_audio()", "community": 11, "community_name": "Community 11", "source_file": "tools_api/audio_cleanup.py", "file_type": "code", "degree": 3}, {"id": "tools_api_audio_cleanup_separate_all_stems", "label": "_separate_all_stems()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 13.0, "font": {"size": 0, "color": "#ffffff"}, "title": "_separate_all_stems()", "community": 11, "community_name": "Community 11", "source_file": "tools_api/audio_cleanup.py", "file_type": "code", "degree": 7}, {"id": "tools_api_audio_cleanup_sum_to_wav", "label": "_sum_to_wav()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_sum_to_wav()", "community": 11, "community_name": "Community 11", "source_file": "tools_api/audio_cleanup.py", "file_type": "code", "degree": 3}, {"id": "tools_api_audio_cleanup_separate", "label": "separate()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "separate()", "community": 11, "community_name": "Community 11", "source_file": "tools_api/audio_cleanup.py", "file_type": "code", "degree": 5}, {"id": "tools_api_audio_cleanup_rationale_1", "label": "Audio source separation tool \u2014 three modes via Demucs.  Reuses internals from st", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Audio source separation tool \u2014 three modes via Demucs.  Reuses internals from st", "community": 11, "community_name": "Community 11", "source_file": "tools_api/audio_cleanup.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_audio_cleanup_rationale_29", "label": "Convert input to a stable WAV format if it's a video or non-WAV audio.", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Convert input to a stable WAV format if it&#x27;s a video or non-WAV audio.", "community": 11, "community_name": "Community 11", "source_file": "tools_api/audio_cleanup.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_audio_cleanup_rationale_46", "label": "Return {stem_name: wav_path} for every demucs source.", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Return {stem_name: wav_path} for every demucs source.", "community": 11, "community_name": "Community 11", "source_file": "tools_api/audio_cleanup.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_audio_cleanup_rationale_67", "label": "Sum N stem WAVs into one \u2014 used to build the instrumental track.", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Sum N stem WAVs into one \u2014 used to build the instrumental track.", "community": 11, "community_name": "Community 11", "source_file": "tools_api/audio_cleanup.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_audio_cleanup_rationale_86", "label": "Run separation. Returns a list of output descriptors:       [{\"name\": \"vocals.wa", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Run separation. Returns a list of output descriptors:       [{&quot;name&quot;: &quot;vocals.wa", "community": 11, "community_name": "Community 11", "source_file": "tools_api/audio_cleanup.py", "file_type": "rationale", "degree": 1}, {"id": "steps_s6_captions_py", "label": "s6_captions.py", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "s6_captions.py", "community": 3, "community_name": "Community 3", "source_file": "steps/s6_captions.py", "file_type": "code", "degree": 5}, {"id": "s6_captions_format_ass_time", "label": "_format_ass_time()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_format_ass_time()", "community": 3, "community_name": "Community 3", "source_file": "steps/s6_captions.py", "file_type": "code", "degree": 4}, {"id": "s6_captions_build_karaoke_chunks", "label": "_build_karaoke_chunks()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_build_karaoke_chunks()", "community": 3, "community_name": "Community 3", "source_file": "steps/s6_captions.py", "file_type": "code", "degree": 3}, {"id": "s6_captions_format_karaoke_line", "label": "_format_karaoke_line()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_format_karaoke_line()", "community": 3, "community_name": "Community 3", "source_file": "steps/s6_captions.py", "file_type": "code", "degree": 4}, {"id": "s6_captions_generate_captions", "label": "generate_captions()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 13.0, "font": {"size": 0, "color": "#ffffff"}, "title": "generate_captions()", "community": 3, "community_name": "Community 3", "source_file": "steps/s6_captions.py", "file_type": "code", "degree": 7}, {"id": "s6_captions_rationale_1", "label": "Step 6b: Generate ASS subtitle file from translated segments.  Produces OpusClip", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Step 6b: Generate ASS subtitle file from translated segments.  Produces OpusClip", "community": 3, "community_name": "Community 3", "source_file": "steps/s6_captions.py", "file_type": "rationale", "degree": 1}, {"id": "s6_captions_rationale_14", "label": "Convert seconds to ASS timestamp format: H:MM:SS.cc", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Convert seconds to ASS timestamp format: H:MM:SS.cc", "community": 3, "community_name": "Community 3", "source_file": "steps/s6_captions.py", "file_type": "rationale", "degree": 1}, {"id": "s6_captions_rationale_28", "label": "Split text into timed word chunks for karaoke display.      Distributes the segm", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Split text into timed word chunks for karaoke display.      Distributes the segm", "community": 3, "community_name": "Community 3", "source_file": "steps/s6_captions.py", "file_type": "rationale", "degree": 1}, {"id": "s6_captions_rationale_88", "label": "Format a karaoke chunk as an ASS Dialogue line.      For RTL chunks: reverse the", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Format a karaoke chunk as an ASS Dialogue line.      For RTL chunks: reverse the", "community": 3, "community_name": "Community 3", "source_file": "steps/s6_captions.py", "file_type": "rationale", "degree": 1}, {"id": "s6_captions_rationale_139", "label": "Generate an ASS subtitle file with karaoke-style word highlights.      Args:", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Generate an ASS subtitle file with karaoke-style word highlights.      Args:", "community": 3, "community_name": "Community 3", "source_file": "steps/s6_captions.py", "file_type": "rationale", "degree": 1}, {"id": "steps_s5_sync_py", "label": "s5_sync.py", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 16.0, "font": {"size": 12, "color": "#ffffff"}, "title": "s5_sync.py", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 14}, {"id": "s5_sync_get_wav_duration", "label": "_get_wav_duration()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_get_wav_duration()", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 4}, {"id": "s5_sync_speedup_audio", "label": "_speedup_audio()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_speedup_audio()", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 4}, {"id": "s5_sync_pad_silence", "label": "_pad_silence()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "_pad_silence()", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 5}, {"id": "s5_sync_trim_audio", "label": "_trim_audio()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_trim_audio()", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 3}, {"id": "s5_sync_detect_pauses", "label": "_detect_pauses()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_detect_pauses()", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 3}, {"id": "s5_sync_find_tts_silences", "label": "_find_tts_silences()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_find_tts_silences()", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 3}, {"id": "s5_sync_read_wav_samples", "label": "_read_wav_samples()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_read_wav_samples()", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 4}, {"id": "s5_sync_write_wav_samples", "label": "_write_wav_samples()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_write_wav_samples()", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 4}, {"id": "s5_sync_pause_aware_sync", "label": "_pause_aware_sync()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 14.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_pause_aware_sync()", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 10}, {"id": "s5_sync_compress_silences", "label": "_compress_silences()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "_compress_silences()", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 5}, {"id": "s5_sync_distribute_padding", "label": "_distribute_padding()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 12.6, "font": {"size": 0, "color": "#ffffff"}, "title": "_distribute_padding()", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 6}, {"id": "s5_sync_generate_silence", "label": "_generate_silence()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_generate_silence()", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 3}, {"id": "s5_sync_sync_and_stitch", "label": "sync_and_stitch()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 13.9, "font": {"size": 0, "color": "#ffffff"}, "title": "sync_and_stitch()", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 9}, {"id": "s5_sync_rationale_1", "label": "Step 6: Audio sync \u2014 match synthesised segment durations to original timestamps.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Step 6: Audio sync \u2014 match synthesised segment durations to original timestamps.", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_25", "label": "Speed up/slow down audio by factor using ffmpeg atempo (supports 0.5\u2013100x via ch", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Speed up/slow down audio by factor using ffmpeg atempo (supports 0.5\u2013100x via ch", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_49", "label": "Pad audio with silence to reach target_duration seconds.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Pad audio with silence to reach target_duration seconds.", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_65", "label": "Trim audio to exactly duration seconds.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Trim audio to exactly duration seconds.", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_75", "label": "Find gaps between consecutive words that exceed min_pause seconds.      Returns", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Find gaps between consecutive words that exceed min_pause seconds.      Returns", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_93", "label": "Find silence regions in a TTS WAV using RMS energy.      Returns list of {start,", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Find silence regions in a TTS WAV using RMS energy.      Returns list of {start,", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_140", "label": "Read a mono 16-bit WAV and return (samples, sample_rate).", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Read a mono 16-bit WAV and return (samples, sample_rate).", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_148", "label": "Write 16-bit mono samples to a WAV file.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Write 16-bit mono samples to a WAV file.", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_159", "label": "Sync TTS audio using pause-aware strategy: compress silences first, then atempo.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Sync TTS audio using pause-aware strategy: compress silences first, then atempo.", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_226", "label": "Rewrite WAV with silence regions compressed to keep_ratio of their original dura", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Rewrite WAV with silence regions compressed to keep_ratio of their original dura", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_253", "label": "Insert extra silence distributed across detected pause points.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Insert extra silence distributed across detected pause points.", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_285", "label": "Generate a silent WAV file of given duration.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Generate a silent WAV file of given duration.", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_300", "label": "Sync each TTS segment to its original timestamp window and stitch into a single", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Sync each TTS segment to its original timestamp window and stitch into a single", "community": 3, "community_name": "Community 3", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "steps_init_py", "label": "__init__.py", "color": {"background": "#FF9DA7", "border": "#FF9DA7", "highlight": {"background": "#ffffff", "border": "#FF9DA7"}}, "size": 10.0, "font": {"size": 0, "color": "#ffffff"}, "title": "__init__.py", "community": 27, "community_name": "Community 27", "source_file": "steps/__init__.py", "file_type": "code", "degree": 0}, {"id": "steps_s4_preview_py", "label": "s4_preview.py", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 15.1, "font": {"size": 12, "color": "#ffffff"}, "title": "s4_preview.py", "community": 4, "community_name": "Community 4", "source_file": "steps/s4_preview.py", "file_type": "code", "degree": 12}, {"id": "s4_preview_filter_preview_segments", "label": "_filter_preview_segments()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_filter_preview_segments()", "community": 4, "community_name": "Community 4", "source_file": "steps/s4_preview.py", "file_type": "code", "degree": 3}, {"id": "s4_preview_stitch_wavs", "label": "_stitch_wavs()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_stitch_wavs()", "community": 4, "community_name": "Community 4", "source_file": "steps/s4_preview.py", "file_type": "code", "degree": 4}, {"id": "s4_preview_ensure_browser_wav", "label": "_ensure_browser_wav()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "_ensure_browser_wav()", "community": 4, "community_name": "Community 4", "source_file": "steps/s4_preview.py", "file_type": "code", "degree": 2}, {"id": "s4_preview_clip_audio", "label": "_clip_audio()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_clip_audio()", "community": 4, "community_name": "Community 4", "source_file": "steps/s4_preview.py", "file_type": "code", "degree": 4}, {"id": "s4_preview_gpu_preview_chatterbox_batch", "label": "_gpu_preview_chatterbox_batch()", "color": {"background": "#59A14F", "border": 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Constructs a Qwen3TTS processor.      Args:         tokenizer ([`Qwen2T", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "r&quot;&quot;&quot;     Constructs a Qwen3TTS processor.      Args:         tokenizer ([`Qwen2T", "community": 6, "community_name": "Community 6", "source_file": "qwen_tts/core/models/processing_qwen3_tts.py", "file_type": "rationale", "degree": 1}, {"id": "processing_qwen3_tts_rationale_47", "label": "Main method to prepare for the model one or several sequences(s) and audio(s). T", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Main method to prepare for the model one or several sequences(s) and audio(s). 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-const LEGEND = [{"cid": 0, "color": "#4E79A7", "label": "Community 0", "count": 140}, {"cid": 1, "color": "#F28E2B", "label": "Community 1", "count": 130}, {"cid": 2, "color": "#E15759", "label": "Community 2", "count": 81}, {"cid": 3, "color": "#76B7B2", "label": "Community 3", "count": 64}, {"cid": 4, "color": "#59A14F", "label": "Community 4", "count": 61}, {"cid": 5, "color": "#EDC948", "label": "Community 5", "count": 60}, {"cid": 6, "color": "#B07AA1", "label": "Community 6", "count": 60}, {"cid": 7, "color": "#FF9DA7", "label": "Community 7", "count": 54}, {"cid": 8, "color": "#9C755F", "label": "Community 8", "count": 49}, {"cid": 9, "color": "#BAB0AC", "label": "Community 9", "count": 37}, {"cid": 10, "color": "#4E79A7", "label": "Community 10", "count": 36}, {"cid": 11, "color": "#F28E2B", "label": "Community 11", "count": 35}, {"cid": 12, "color": "#E15759", "label": "Community 12", "count": 34}, {"cid": 13, "color": "#76B7B2", "label": "Community 13", "count": 31}, {"cid": 14, "color": "#59A14F", "label": "Community 14", "count": 28}, {"cid": 15, "color": "#EDC948", "label": "Community 15", "count": 27}, {"cid": 16, "color": "#B07AA1", "label": "Community 16", "count": 19}, {"cid": 17, "color": "#FF9DA7", "label": "Community 17", "count": 13}, {"cid": 18, "color": "#9C755F", "label": "Community 18", "count": 13}, {"cid": 19, "color": "#BAB0AC", "label": "Community 19", "count": 12}, {"cid": 20, "color": "#4E79A7", "label": "Community 20", "count": 10}, {"cid": 21, "color": "#F28E2B", "label": "Community 21", "count": 6}, {"cid": 22, "color": "#E15759", "label": "Community 22", "count": 2}, {"cid": 23, "color": "#76B7B2", "label": "Community 23", "count": 2}, {"cid": 24, "color": "#59A14F", "label": "Community 24", "count": 1}, {"cid": 25, "color": "#EDC948", "label": "Community 25", "count": 1}, {"cid": 26, "color": "#B07AA1", "label": "Community 26", "count": 1}, {"cid": 27, "color": "#FF9DA7", "label": "Community 27", "count": 1}, {"cid": 28, "color": "#9C755F", "label": "Community 28", "count": 1}, {"cid": 29, "color": "#BAB0AC", "label": "Community 29", "count": 1}, {"cid": 30, "color": "#4E79A7", "label": "Community 30", "count": 1}, {"cid": 31, "color": "#F28E2B", "label": "Community 31", "count": 1}, {"cid": 32, "color": "#E15759", "label": "Community 32", "count": 1}, {"cid": 33, "color": "#76B7B2", "label": "Community 33", "count": 1}, {"cid": 34, "color": "#59A14F", "label": "Community 34", "count": 1}, {"cid": 35, "color": "#EDC948", "label": "Community 35", "count": 1}, {"cid": 36, "color": "#B07AA1", "label": "Community 36", "count": 1}, {"cid": 37, "color": "#FF9DA7", "label": "Community 37", "count": 1}, {"cid": 38, "color": "#9C755F", "label": "Community 38", "count": 1}, {"cid": 39, "color": "#BAB0AC", "label": "Community 39", "count": 1}, {"cid": 40, "color": "#4E79A7", "label": "Community 40", "count": 1}, {"cid": 41, "color": "#F28E2B", "label": "Community 41", "count": 1}, {"cid": 42, "color": "#E15759", "label": "Community 42", "count": 1}, {"cid": 43, "color": "#76B7B2", "label": "Community 43", "count": 1}, {"cid": 44, "color": "#59A14F", "label": "Community 44", "count": 1}, {"cid": 45, "color": "#EDC948", "label": "Community 45", "count": 1}, {"cid": 46, "color": "#B07AA1", "label": "Community 46", "count": 1}, {"cid": 47, "color": "#FF9DA7", "label": "Community 47", "count": 1}, {"cid": 48, "color": "#9C755F", "label": "Community 48", "count": 1}, {"cid": 49, "color": "#BAB0AC", "label": "Community 49", "count": 1}, {"cid": 50, "color": "#4E79A7", "label": "Community 50", "count": 1}, {"cid": 51, "color": "#F28E2B", "label": "Community 51", "count": 1}, {"cid": 52, "color": "#E15759", "label": "Community 52", "count": 1}, {"cid": 53, "color": "#76B7B2", "label": "Community 53", "count": 1}, {"cid": 54, "color": "#59A14F", "label": "Community 54", "count": 1}, {"cid": 55, "color": "#EDC948", "label": "Community 55", "count": 1}, {"cid": 56, "color": "#B07AA1", "label": "Community 56", "count": 1}, {"cid": 57, "color": "#FF9DA7", "label": "Community 57", "count": 1}, {"cid": 58, "color": "#9C755F", "label": "Community 58", "count": 1}, {"cid": 59, "color": "#BAB0AC", "label": "Community 59", "count": 1}, {"cid": 60, "color": "#4E79A7", "label": "Community 60", "count": 1}, {"cid": 61, "color": "#F28E2B", "label": "Community 61", "count": 1}, {"cid": 62, "color": "#E15759", "label": "Community 62", "count": 1}, {"cid": 63, "color": "#76B7B2", "label": "Community 63", "count": 1}, {"cid": 64, "color": "#59A14F", "label": "Community 64", "count": 1}, {"cid": 65, "color": "#EDC948", "label": "Community 65", "count": 1}, {"cid": 66, "color": "#B07AA1", "label": "Community 66", "count": 1}, {"cid": 67, "color": "#FF9DA7", "label": "Community 67", "count": 1}, {"cid": 68, "color": "#9C755F", "label": "Community 68", "count": 1}, {"cid": 69, "color": "#BAB0AC", "label": "Community 69", "count": 1}];
+const RAW_NODES = [{"id": "server_py", "label": "server.py", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 40.0, "font": {"size": 12, "color": "#ffffff"}, "title": "server.py", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 70}, {"id": "videovoice_be_server_default_artifacts_root", "label": "_default_artifacts_root()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "_default_artifacts_root()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 1}, {"id": "videovoice_be_server_parse_allowed_origins", "label": "_parse_allowed_origins()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "_parse_allowed_origins()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 1}, {"id": "videovoice_be_server_download_url", "label": "_download_url()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_download_url()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 3}, {"id": "videovoice_be_server_is_allowed_video_host", "label": "_is_allowed_video_host()", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_is_allowed_video_host()", "community": 12, "community_name": "Community 12", "source_file": "server.py", "file_type": "code", "degree": 4}, {"id": "videovoice_be_server_probe_duration_seconds", "label": "_probe_duration_seconds()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_probe_duration_seconds()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 3}, {"id": "videovoice_be_server_gpu_available", "label": "_gpu_available()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_gpu_available()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 3}, {"id": "videovoice_be_server_queue_depth", "label": "_queue_depth()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_queue_depth()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 3}, {"id": "videovoice_be_server_is_job_active", "label": "_is_job_active()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_is_job_active()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 3}, {"id": "videovoice_be_server_release_session_lock", "label": "_release_session_lock()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "_release_session_lock()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 2}, {"id": "videovoice_be_server_demo_video_id", "label": "_demo_video_id()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_demo_video_id()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 4}, {"id": "videovoice_be_server_collect_demo_videos", "label": "_collect_demo_videos()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "_collect_demo_videos()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 5}, {"id": "videovoice_be_server_queue_status_for", "label": "_queue_status_for()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_queue_status_for()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 3}, {"id": "videovoice_be_server_config_languages", "label": "_config_languages()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_config_languages()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 3}, {"id": "videovoice_be_server_chatterbox_language_options", "label": "_chatterbox_language_options()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "_chatterbox_language_options()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 2}, {"id": "videovoice_be_server_omnivoice_language_options", "label": "_omnivoice_language_options()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "_omnivoice_language_options()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 2}, {"id": "videovoice_be_server_qwen3_language_options", "label": "_qwen3_language_options()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "_qwen3_language_options()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 2}, {"id": "videovoice_be_server_artifact_reaper_loop", "label": "_artifact_reaper_loop()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_artifact_reaper_loop()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 3}, {"id": "videovoice_be_server_enforce_content_length_limit", "label": "enforce_content_length_limit()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "enforce_content_length_limit()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 5}, {"id": "videovoice_be_server_run_pipeline_async", "label": "_run_pipeline_async()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "_run_pipeline_async()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 5}, {"id": "videovoice_be_server_health", "label": "health()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "health()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 3}, {"id": "videovoice_be_server_config", "label": "config()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "config()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 5}, {"id": "videovoice_be_server_list_demo_videos", "label": "list_demo_videos()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "list_demo_videos()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 3}, {"id": "videovoice_be_server_stream_demo_video", "label": "stream_demo_video()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "stream_demo_video()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 3}, {"id": "videovoice_be_server_get_showcase", "label": "get_showcase()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "get_showcase()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 3}, {"id": "videovoice_be_server_create_job", "label": "create_job()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 13.0, "font": {"size": 0, "color": "#ffffff"}, "title": "create_job()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 7}, {"id": "videovoice_be_server_job_status_poll", "label": "job_status_poll()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "job_status_poll()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 2}, {"id": "videovoice_be_server_modelselection", "label": "ModelSelection", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "ModelSelection", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 2}, {"id": "basemodel", "label": "BaseModel", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "BaseModel", "community": 1, "community_name": "Community 1", "source_file": "", "file_type": "code", "degree": 2}, {"id": "videovoice_be_server_select_model", "label": "select_model()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "select_model()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 2}, {"id": "videovoice_be_server_get_preview_audio", "label": "get_preview_audio()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "get_preview_audio()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 2}, {"id": "videovoice_be_server_job_result", "label": "job_result()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "job_result()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 2}, {"id": "videovoice_be_server_startup_event", "label": "startup_event()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "startup_event()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 3}, {"id": "videovoice_be_server_shutdown_event", "label": "shutdown_event()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "shutdown_event()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 1}, {"id": "videovoice_be_server_nocachestaticmiddleware", "label": "NoCacheStaticMiddleware", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "NoCacheStaticMiddleware", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 3}, {"id": "basehttpmiddleware", "label": "BaseHTTPMiddleware", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "BaseHTTPMiddleware", "community": 1, "community_name": "Community 1", "source_file": "", "file_type": "code", "degree": 2}, {"id": "videovoice_be_server_nocachestaticmiddleware_dispatch", "label": ".dispatch()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": ".dispatch()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 1}, {"id": "videovoice_be_server_local_content_length", "label": "_local_content_length()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "_local_content_length()", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "code", "degree": 2}, {"id": "videovoice_be_server_rationale_1", "label": "server.py \u2014 FastAPI backend for VideoVoice.  Endpoints:   POST /api/jobs", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "server.py \u2014 FastAPI backend for VideoVoice.  Endpoints:   POST /api/jobs", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "rationale", "degree": 1}, {"id": "videovoice_be_server_rationale_134", "label": "Download video from Instagram/YouTube using yt-dlp.", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Download video from Instagram/YouTube using yt-dlp.", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "rationale", "degree": 1}, {"id": "videovoice_be_server_rationale_156", "label": "Allow only trusted social platforms for yt-dlp.", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Allow only trusted social platforms for yt-dlp.", "community": 12, "community_name": "Community 12", "source_file": "server.py", "file_type": "rationale", "degree": 1}, {"id": "videovoice_be_server_rationale_171", "label": "Read media duration from ffprobe.", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Read media duration from ffprobe.", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "rationale", "degree": 1}, {"id": "videovoice_be_server_rationale_194", "label": "Report CUDA/MPS availability.", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Report CUDA/MPS availability.", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "rationale", "degree": 1}, {"id": "videovoice_be_server_rationale_205", "label": "Total queue pressure: active job + queued jobs.", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Total queue pressure: active job + queued jobs.", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "rationale", "degree": 1}, {"id": "videovoice_be_server_rationale_210", "label": "Whether a job is still active (queued/running).", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Whether a job is still active (queued/running).", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "rationale", "degree": 1}, {"id": "videovoice_be_server_rationale_226", "label": "Generate a stable opaque ID for a whitelisted demo video.", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Generate a stable opaque ID for a whitelisted demo video.", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "rationale", "degree": 1}, {"id": "videovoice_be_server_rationale_232", "label": "Discover demo videos and return (metadata list, id -> path lookup).", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Discover demo videos and return (metadata list, id -&gt; path lookup).", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "rationale", "degree": 1}, {"id": "videovoice_be_server_rationale_269", "label": "Build a live queue status string for a waiting job.", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Build a live queue status string for a waiting job.", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "rationale", "degree": 1}, {"id": "videovoice_be_server_rationale_306", "label": "Expose supported language names from the pipeline (Chatterbox set).", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Expose supported language names from the pipeline (Chatterbox set).", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "rationale", "degree": 1}, {"id": "videovoice_be_server_rationale_331", "label": "Delete stale per-job artifact directories from ARTIFACTS_ROOT.", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Delete stale per-job artifact directories from ARTIFACTS_ROOT.", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "rationale", "degree": 1}, {"id": "videovoice_be_server_rationale_360", "label": "Reject oversized uploads before body parsing.", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Reject oversized uploads before body parsing.", "community": 1, "community_name": "Community 1", "source_file": "server.py", "file_type": "rationale", "degree": 1}, {"id": "videovoice_be_server_rationale_382", "label": "Run the translation pipeline in a background thread, pushing progress to the job", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, 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"border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "build_pollinations_client()", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/config.py", "file_type": "code", "degree": 2}, {"id": "config_bedrock_converse", "label": "bedrock_converse()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "bedrock_converse()", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/config.py", "file_type": "code", "degree": 1}, {"id": "config_rationale_1", "label": "Central configuration \u2014 env loading, constants, language maps.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Central configuration \u2014 env loading, constants, language maps.", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/config.py", "file_type": "rationale", "degree": 1}, {"id": "social_distributor_poster_models_py", "label": "models.py", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 14.3, "font": {"size": 0, "color": "#ffffff"}, "title": "models.py", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/models.py", "file_type": "code", "degree": 10}, {"id": "models_videodata", "label": "VideoData", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 13.9, "font": {"size": 0, "color": "#ffffff"}, "title": "VideoData", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/models.py", "file_type": "code", "degree": 9}, {"id": "models_postresult", "label": "PostResult", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 18.1, "font": {"size": 12, "color": "#ffffff"}, "title": "PostResult", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/models.py", "file_type": "code", "degree": 19}, {"id": "models_rationale_1", "label": "Data models for the poster pipeline.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Data models for the poster pipeline.", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/models.py", "file_type": "rationale", "degree": 1}, {"id": "social_distributor_poster_video_loader_py", "label": "video_loader.py", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 12.6, "font": {"size": 0, "color": "#ffffff"}, "title": "video_loader.py", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/video_loader.py", "file_type": "code", "degree": 6}, {"id": "video_loader_detect_platform", "label": "_detect_platform()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "_detect_platform()", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/video_loader.py", "file_type": "code", "degree": 2}, {"id": "video_loader_load_video", "label": "load_video()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "load_video()", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/video_loader.py", "file_type": "code", "degree": 5}, {"id": "video_loader_load_videos", "label": "load_videos()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "load_videos()", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/video_loader.py", "file_type": "code", "degree": 5}, {"id": "video_loader_rationale_1", "label": "Load and validate VideoVoice data folders into VideoData objects.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "Load and validate VideoVoice data folders into VideoData objects.", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/video_loader.py", "file_type": "rationale", "degree": 2}, {"id": "video_loader_rationale_30", "label": "Load a single video folder. Returns None if the folder is invalid.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "Load a single video folder. Returns None if the folder is invalid.", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/video_loader.py", "file_type": "rationale", "degree": 2}, {"id": "video_loader_rationale_91", "label": "Load multiple video folders, skipping invalid ones.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "Load multiple video folders, skipping invalid ones.", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/video_loader.py", "file_type": "rationale", "degree": 2}, {"id": "social_distributor_poster_caption_gen_py", "label": "caption_gen.py", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 13.4, "font": {"size": 0, "color": "#ffffff"}, "title": "caption_gen.py", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/caption_gen.py", "file_type": "code", "degree": 8}, {"id": "caption_gen_build_system_prompt", "label": "_build_system_prompt()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "_build_system_prompt()", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/caption_gen.py", "file_type": "code", "degree": 2}, {"id": "caption_gen_build_user_prompt", "label": "_build_user_prompt()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "_build_user_prompt()", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/caption_gen.py", "file_type": "code", "degree": 2}, {"id": "caption_gen_parse_response", "label": "_parse_response()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_parse_response()", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/caption_gen.py", "file_type": "code", "degree": 3}, {"id": "caption_gen_generate_caption", "label": "generate_caption()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 13.9, "font": {"size": 0, "color": "#ffffff"}, "title": "generate_caption()", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/caption_gen.py", "file_type": "code", "degree": 9}, {"id": "caption_gen_format_caption", "label": "format_caption()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "format_caption()", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/caption_gen.py", "file_type": "code", "degree": 4}, {"id": "caption_gen_rationale_1", "label": "LLM-based caption generation for social media posts.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "LLM-based caption generation for social media posts.", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/caption_gen.py", "file_type": "rationale", "degree": 2}, {"id": "caption_gen_rationale_82", "label": "Parse the LLM JSON response, with fallback for markdown fences.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "Parse the LLM JSON response, with fallback for markdown fences.", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/caption_gen.py", "file_type": "rationale", "degree": 2}, {"id": "caption_gen_rationale_104", "label": "Generate a caption using Pollinations LLM, with Bedrock fallback.      Returns d", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "Generate a caption using Pollinations LLM, with Bedrock fallback.      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Uses Play", "color": {"background": "#BAB0AC", "border": "#BAB0AC", "highlight": {"background": "#ffffff", "border": "#BAB0AC"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Extract the @username of the original creator from the video URL.      Uses Play", "community": 19, "community_name": "Community 19", "source_file": "social_distributor/poster/creator_extract.py", "file_type": "rationale", "degree": 1}, {"id": "creator_extract_rationale_63", "label": "Instagram: visit reel, extract username from og:title or page URL.", "color": {"background": "#BAB0AC", "border": "#BAB0AC", "highlight": {"background": "#ffffff", "border": "#BAB0AC"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Instagram: visit reel, extract username from og:title or page URL.", "community": 19, "community_name": "Community 19", "source_file": "social_distributor/poster/creator_extract.py", "file_type": "rationale", "degree": 1}, {"id": "creator_extract_rationale_95", "label": "TikTok: follow redirect from short URL, parse /@username from final URL.", "color": {"background": "#BAB0AC", "border": "#BAB0AC", "highlight": {"background": "#ffffff", "border": "#BAB0AC"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "TikTok: follow redirect from short URL, parse /@username from final URL.", "community": 19, "community_name": "Community 19", "source_file": "social_distributor/poster/creator_extract.py", "file_type": "rationale", "degree": 1}, {"id": "creator_extract_rationale_124", "label": "YouTube: visit video page, extract channel name from meta tags.", "color": {"background": "#BAB0AC", "border": "#BAB0AC", "highlight": {"background": "#ffffff", "border": "#BAB0AC"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "YouTube: visit video page, extract channel name from meta tags.", "community": 19, "community_name": "Community 19", "source_file": "social_distributor/poster/creator_extract.py", "file_type": "rationale", "degree": 1}, {"id": "social_distributor_poster_post_log_py", "label": "post_log.py", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 13.4, "font": {"size": 0, "color": "#ffffff"}, "title": "post_log.py", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/post_log.py", "file_type": "code", "degree": 8}, {"id": "post_log_load", "label": "_load()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_load()", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/post_log.py", "file_type": "code", "degree": 4}, {"id": "post_log_save", "label": "_save()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "_save()", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/post_log.py", "file_type": "code", "degree": 2}, {"id": "post_log_is_posted", "label": "is_posted()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "is_posted()", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/post_log.py", "file_type": "code", "degree": 3}, {"id": "post_log_record", "label": "record()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "record()", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/post_log.py", "file_type": "code", "degree": 4}, {"id": "post_log_get_all", "label": "get_all()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "get_all()", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/post_log.py", "file_type": "code", "degree": 3}, {"id": "post_log_rationale_1", "label": "JSON-based posting history for deduplication.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "JSON-based posting history for deduplication.", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/post_log.py", "file_type": "rationale", "degree": 2}, {"id": "social_distributor_poster_platforms_youtube_py", "label": "youtube.py", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "youtube.py", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/platforms/youtube.py", "file_type": "code", "degree": 4}, {"id": "youtube_youtubeposter", "label": "YouTubePoster", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 14.7, "font": {"size": 12, "color": "#ffffff"}, "title": "YouTubePoster", "community": 3, "community_name": "Community 3", "source_file": "social_distributor/poster/platforms/youtube.py", "file_type": "code", "degree": 11}, {"id": "baseposter", "label": "BasePoster", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "BasePoster", "community": 3, "community_name": "Community 3", "source_file": "", "file_type": "code", "degree": 3}, {"id": "youtube_youtubeposter_is_logged_in", "label": ".is_logged_in()", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": 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Mirrors prod", "community": 13, "community_name": "Community 13", "source_file": "fine_tuning/scripts/build_dataset.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_build_dataset_rationale_195", "label": "Load ChatterboxMultilingualTTS once for the whole run.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Load ChatterboxMultilingualTTS once for the whole run.", "community": 13, "community_name": "Community 13", "source_file": "fine_tuning/scripts/build_dataset.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_build_dataset_rationale_206", "label": "Run Chatterbox on one segment, save WAV. Returns duration in seconds.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Run Chatterbox on one segment, save WAV. Returns duration in seconds.", "community": 13, "community_name": "Community 13", "source_file": "fine_tuning/scripts/build_dataset.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_build_dataset_rationale_233", "label": "Accept 'en' or 'English' \u2192 'en'.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Accept &#x27;en&#x27; or &#x27;English&#x27; \u2192 &#x27;en&#x27;.", "community": 13, "community_name": "Community 13", "source_file": "fine_tuning/scripts/build_dataset.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_build_dataset_rationale_242", "label": "Ensure a clean (auto-language) transcription.json exists in samples/<job>/.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Ensure a clean (auto-language) transcription.json exists in samples/&lt;job&gt;/.", "community": 13, "community_name": "Community 13", "source_file": "fine_tuning/scripts/build_dataset.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_build_dataset_rationale_268", "label": "Build dataset for a single job. Returns number of samples produced.", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Build dataset for a single job. Returns number of samples produced.", "community": 13, "community_name": "Community 13", "source_file": "fine_tuning/scripts/build_dataset.py", "file_type": "rationale", "degree": 1}, {"id": "fine_tuning_scripts_eval_py", "label": "eval.py", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 13.4, "font": {"size": 0, "color": "#ffffff"}, "title": "eval.py", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "code", "degree": 8}, {"id": "scripts_eval_pick_held_out_samples", "label": "pick_held_out_samples()", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "pick_held_out_samples()", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "code", "degree": 3}, {"id": "scripts_eval_synthesise", "label": "synthesise()", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "synthesise()", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "code", "degree": 3}, {"id": "scripts_eval_load_with_lora", "label": "load_with_lora()", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "load_with_lora()", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "code", "degree": 3}, {"id": "scripts_eval_load_baseline", "label": "load_baseline()", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "load_baseline()", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "code", "degree": 2}, {"id": "scripts_eval_evaluate", "label": "evaluate()", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "evaluate()", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "code", "degree": 5}, {"id": "scripts_eval_print_summary", "label": "print_summary()", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "print_summary()", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "code", "degree": 2}, {"id": "scripts_eval_main", "label": "main()", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 12.6, "font": {"size": 0, "color": "#ffffff"}, "title": "main()", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "code", "degree": 6}, {"id": "scripts_eval_rationale_1", "label": "eval.py \u2014 Evaluate the fine-tuned LoRA against the un-tuned baseline.  Picks N s", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "eval.py \u2014 Evaluate the fine-tuned LoRA against the un-tuned baseline.  Picks N s", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_eval_rationale_39", "label": "Return overshoot samples (duration_diff > 0.2) \u2014 these are NOT in the     asymme", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Return overshoot samples (duration_diff &gt; 0.2) \u2014 these are NOT in the     asymme", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_eval_rationale_54", "label": "Generate one segment, return duration in seconds.", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Generate one segment, return duration in seconds.", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_eval_rationale_73", "label": "Load the base Chatterbox model and merge in a LoRA checkpoint.", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Load the base Chatterbox model and merge in a LoRA checkpoint.", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_eval_rationale_92", "label": "Run the model on each sample, save the WAV, return a result row per sample.", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Run the model on each sample, save the WAV, return a result row per sample.", "community": 18, "community_name": "Community 18", "source_file": "fine_tuning/scripts/eval.py", "file_type": "rationale", "degree": 1}, {"id": "fine_tuning_scripts_train_lora_py", "label": "train_lora.py", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 12.6, "font": {"size": 0, "color": "#ffffff"}, "title": "train_lora.py", "community": 14, "community_name": "Community 14", "source_file": "fine_tuning/scripts/train_lora.py", "file_type": "code", "degree": 6}, {"id": "scripts_train_lora_compute_loss", "label": "compute_loss()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "compute_loss()", "community": 14, "community_name": "Community 14", "source_file": "fine_tuning/scripts/train_lora.py", "file_type": "code", "degree": 3}, {"id": "scripts_train_lora_load_dataset", "label": "load_dataset()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "load_dataset()", "community": 14, "community_name": "Community 14", "source_file": "fine_tuning/scripts/train_lora.py", "file_type": "code", "degree": 4}, {"id": "scripts_train_lora_attach_lora", "label": "attach_lora()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "attach_lora()", "community": 14, "community_name": "Community 14", "source_file": "fine_tuning/scripts/train_lora.py", "file_type": "code", "degree": 5}, {"id": "scripts_train_lora_freeze_non_lora", "label": "freeze_non_lora()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "freeze_non_lora()", "community": 14, "community_name": "Community 14", "source_file": "fine_tuning/scripts/train_lora.py", "file_type": "code", "degree": 5}, {"id": "scripts_train_lora_main", "label": "main()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 13.0, "font": {"size": 0, "color": "#ffffff"}, "title": "main()", "community": 14, "community_name": "Community 14", "source_file": "fine_tuning/scripts/train_lora.py", "file_type": "code", "degree": 7}, {"id": "scripts_train_lora_rationale_1", "label": "train_lora.py \u2014 LoRA fine-tune of Chatterbox T3 (the LLaMA-520M speech-token dec", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "train_lora.py \u2014 LoRA fine-tune of Chatterbox T3 (the LLaMA-520M speech-token dec", "community": 14, "community_name": "Community 14", "source_file": "fine_tuning/scripts/train_lora.py", "file_type": "rationale", "degree": 2}, {"id": "scripts_train_lora_rationale_35", "label": "Replacement for T3.loss(): the upstream version calls F.cross_entropy     on (B,", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Replacement for T3.loss(): the upstream version calls F.cross_entropy     on (B,", "community": 14, "community_name": "Community 14", "source_file": "fine_tuning/scripts/train_lora.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_train_lora_rationale_74", "label": "Load training rows.      `only_good=True` applies the asymmetric dubbing filter:", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Load training rows.      `only_good=True` applies the asymmetric dubbing filter:", "community": 14, "community_name": "Community 14", "source_file": "fine_tuning/scripts/train_lora.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_train_lora_rationale_90", "label": "Attach LoRA adapters to T3.tfmr (the LLaMA backbone).", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Attach LoRA adapters to T3.tfmr (the LLaMA backbone).", "community": 14, "community_name": "Community 14", "source_file": "fine_tuning/scripts/train_lora.py", "file_type": "rationale", "degree": 1}, {"id": "scripts_train_lora_rationale_112", "label": "Freeze everything except LoRA adapters in tfmr.", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Freeze everything except LoRA adapters in tfmr.", "community": 14, "community_name": "Community 14", "source_file": "fine_tuning/scripts/train_lora.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_subtitles_py", "label": "subtitles.py", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 16.0, "font": {"size": 12, "color": "#ffffff"}, "title": "subtitles.py", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 14}, {"id": "tools_api_subtitles_is_video", "label": "_is_video()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "_is_video()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 2}, {"id": "tools_api_subtitles_extract_audio", "label": "_extract_audio()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_extract_audio()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 3}, {"id": "tools_api_subtitles_resolve_lang", "label": "_resolve_lang()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "_resolve_lang()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 2}, {"id": "tools_api_subtitles_seg_text", "label": "_seg_text()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_seg_text()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 4}, {"id": "tools_api_subtitles_format_timestamp_srt", "label": "_format_timestamp_srt()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_format_timestamp_srt()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 3}, {"id": "tools_api_subtitles_format_timestamp_vtt", "label": "_format_timestamp_vtt()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_format_timestamp_vtt()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 3}, {"id": "tools_api_subtitles_write_srt", "label": "write_srt()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "write_srt()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 4}, {"id": "tools_api_subtitles_write_vtt", "label": "write_vtt()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "write_vtt()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 4}, {"id": "tools_api_subtitles_write_txt", "label": "write_txt()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "write_txt()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 3}, {"id": "tools_api_subtitles_clamp", "label": "_clamp()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "_clamp()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 2}, {"id": "tools_api_subtitles_force_style_for", "label": "_force_style_for()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_force_style_for()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 4}, {"id": "tools_api_subtitles_burn_in", "label": "_burn_in()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_burn_in()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 4}, {"id": "tools_api_subtitles_generate_subtitles", "label": "generate_subtitles()", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 15.1, "font": {"size": 12, "color": "#ffffff"}, "title": "generate_subtitles()", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "code", "degree": 12}, {"id": "tools_api_subtitles_rationale_1", "label": "Subtitle generation: sidecar files (.srt/.vtt/.txt) and burn-in MP4.  Reuses ste", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Subtitle generation: sidecar files (.srt/.vtt/.txt) and burn-in MP4.  Reuses ste", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_subtitles_rationale_43", "label": "Pull a 16kHz mono WAV from the input \u2014 what whisper expects.", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Pull a 16kHz mono WAV from the input \u2014 what whisper expects.", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_subtitles_rationale_144", "label": "Return an ffmpeg `subtitles=...:force_style='...'` string.      Args:         st", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Return an ffmpeg `subtitles=...:force_style=&#x27;...&#x27;` string.      Args:         st", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_subtitles_rationale_197", "label": "Render captions into the video pixels via ffmpeg + libass.", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Render captions into the video pixels via ffmpeg + libass.", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_subtitles_rationale_234", "label": "Run the full subtitle pipeline. Returns:       {         \"format\": \"srt\" | \"vtt\"", "color": {"background": "#B07AA1", "border": "#B07AA1", "highlight": {"background": "#ffffff", "border": "#B07AA1"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Run the full subtitle pipeline. Returns:       {         &quot;format&quot;: &quot;srt&quot; | &quot;vtt&quot;", "community": 16, "community_name": "Community 16", "source_file": "tools_api/subtitles.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_voice_clone_py", "label": "voice_clone.py", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 13.0, "font": {"size": 0, "color": "#ffffff"}, "title": "voice_clone.py", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "code", "degree": 7}, {"id": "tools_api_voice_clone_prepare_sample", "label": "_prepare_sample()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_prepare_sample()", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "code", "degree": 3}, {"id": "tools_api_voice_clone_isolate_vocals", "label": "_isolate_vocals()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_isolate_vocals()", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "code", "degree": 4}, {"id": "tools_api_voice_clone_split_text", "label": "_split_text()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_split_text()", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "code", "degree": 3}, {"id": "tools_api_voice_clone_build_segments", "label": "_build_segments()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_build_segments()", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "code", "degree": 3}, {"id": "tools_api_voice_clone_concat_wavs_to_mp3", "label": "_concat_wavs_to_mp3()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_concat_wavs_to_mp3()", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "code", "degree": 3}, {"id": "tools_api_voice_clone_clone_voice", "label": "clone_voice()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 13.4, "font": {"size": 0, "color": "#ffffff"}, "title": "clone_voice()", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "code", "degree": 8}, {"id": "tools_api_voice_clone_rationale_1", "label": "Voice clone playground \u2014 single-engine TTS from a sample + text input.  This Spa", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Voice clone playground \u2014 single-engine TTS from a sample + text input.  This Spa", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_voice_clone_rationale_24", "label": "Convert any uploaded sample (audio or video) to a clean 24kHz mono WAV.      TTS", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Convert any uploaded sample (audio or video) to a clean 24kHz mono WAV.      TTS", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_voice_clone_rationale_49", "label": "Run Demucs source separation on the prepared sample and return a     vocals-only", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Run Demucs source separation on the prepared sample and return a     vocals-only", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_voice_clone_rationale_92", "label": "Split into chunks of ~CHUNK_TARGET_CHARS at sentence then word boundaries.", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Split into chunks of ~CHUNK_TARGET_CHARS at sentence then word boundaries.", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_voice_clone_rationale_134", "label": "Construct segment dicts for synthesise_segments \u2014 fake timing windows.", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Construct segment dicts for synthesise_segments \u2014 fake timing windows.", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_voice_clone_rationale_152", "label": "Concat in order via ffmpeg concat demuxer, then encode MP3.", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Concat in order via ffmpeg concat demuxer, then encode MP3.", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_voice_clone_rationale_193", "label": "Run TTS on `text` using the voice from `sample_path`. Returns:       {         \"", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Run TTS on `text` using the voice from `sample_path`. Returns:       {         &quot;", "community": 11, "community_name": "Community 11", "source_file": "tools_api/voice_clone.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_dramabox_py", "label": "dramabox.py", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "dramabox.py", "community": 21, "community_name": "Community 21", "source_file": "tools_api/dramabox.py", "file_type": "code", "degree": 4}, {"id": "tools_api_dramabox_ensure_server", "label": "_ensure_server()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_ensure_server()", "community": 21, "community_name": "Community 21", "source_file": "tools_api/dramabox.py", "file_type": "code", "degree": 3}, {"id": "tools_api_dramabox_generate_scene", "label": "generate_scene()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "generate_scene()", "community": 21, "community_name": "Community 21", "source_file": "tools_api/dramabox.py", "file_type": "code", "degree": 3}, {"id": "tools_api_dramabox_generate_impl", "label": "_generate_impl()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_generate_impl()", "community": 21, "community_name": "Community 21", "source_file": "tools_api/dramabox.py", "file_type": "code", "degree": 3}, {"id": "tools_api_dramabox_rationale_1", "label": "Dramabox \u2014 Resemble AI directable speech engine.  Single-Space tool: generates a", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Dramabox \u2014 Resemble AI directable speech engine.  Single-Space tool: generates a", "community": 21, "community_name": "Community 21", "source_file": "tools_api/dramabox.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_dramabox_rationale_37", "label": "Lazy-import the Dramabox model + load checkpoints once. Raises a clean     Runti", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Lazy-import the Dramabox model + load checkpoints once. Raises a clean     Runti", "community": 21, "community_name": "Community 21", "source_file": "tools_api/dramabox.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_dramabox_rationale_94", "label": "Run Dramabox on `prompt` and write the resulting WAV under `out_dir`.      Retur", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Run Dramabox on `prompt` and write the resulting WAV under `out_dir`.      Retur", "community": 21, "community_name": "Community 21", "source_file": "tools_api/dramabox.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_init_py", "label": "__init__.py", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "__init__.py", "community": 12, "community_name": "Community 12", "source_file": "tools_api/__init__.py", "file_type": "code", "degree": 2}, {"id": "tools_api_init_rationale_1", "label": "tools_api \u2014 Standalone endpoints for creator quick tools.  Lives alongside the m", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "tools_api \u2014 Standalone endpoints for creator quick tools.  Lives alongside the m", "community": 12, "community_name": "Community 12", "source_file": "tools_api/__init__.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_storage_py", "label": "storage.py", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 13.0, "font": {"size": 0, "color": "#ffffff"}, "title": "storage.py", "community": 12, "community_name": "Community 12", "source_file": "tools_api/storage.py", "file_type": "code", "degree": 7}, {"id": "tools_api_storage_new_run_dir", "label": "new_run_dir()", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 12.6, "font": {"size": 0, "color": "#ffffff"}, "title": "new_run_dir()", "community": 12, "community_name": "Community 12", "source_file": "tools_api/storage.py", "file_type": "code", "degree": 6}, {"id": "tools_api_storage_run_dir", "label": "run_dir()", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "run_dir()", "community": 12, "community_name": "Community 12", "source_file": "tools_api/storage.py", "file_type": "code", "degree": 3}, {"id": "tools_api_storage_file_url", "label": "file_url()", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 12.6, "font": {"size": 0, "color": "#ffffff"}, "title": "file_url()", "community": 12, "community_name": "Community 12", "source_file": "tools_api/storage.py", "file_type": "code", "degree": 6}, {"id": "tools_api_storage_safe_filename", "label": "safe_filename()", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "safe_filename()", "community": 12, "community_name": "Community 12", "source_file": "tools_api/storage.py", "file_type": "code", "degree": 4}, {"id": "tools_api_storage_reap_old_runs", "label": "reap_old_runs()", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "reap_old_runs()", "community": 12, "community_name": "Community 12", "source_file": "tools_api/storage.py", "file_type": "code", "degree": 2}, {"id": "tools_api_storage_rationale_1", "label": "Per-run temp storage for tools_api.  Each tool request creates a fresh dir under", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Per-run temp storage for tools_api.  Each tool request creates a fresh dir under", "community": 12, "community_name": "Community 12", "source_file": "tools_api/storage.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_storage_rationale_30", "label": "Allocate a fresh per-request directory. Returns (run_id, path).", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Allocate a fresh per-request directory. Returns (run_id, path).", "community": 12, "community_name": "Community 12", "source_file": "tools_api/storage.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_storage_rationale_38", "label": "Resolve a run_id to its directory, or None if missing/invalid.", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Resolve a run_id to its directory, or None if missing/invalid.", "community": 12, "community_name": "Community 12", "source_file": "tools_api/storage.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_storage_rationale_48", "label": "Construct the public download URL for an artifact.", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Construct the public download URL for an artifact.", "community": 12, "community_name": "Community 12", "source_file": "tools_api/storage.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_storage_rationale_53", "label": "Strip path separators and dangerous chars from a user-supplied name.", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Strip path separators and dangerous chars from a user-supplied name.", "community": 12, "community_name": "Community 12", "source_file": "tools_api/storage.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_storage_rationale_61", "label": "Delete tool run dirs older than RUN_TTL_SECONDS. Returns count removed.", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Delete tool run dirs older than RUN_TTL_SECONDS. Returns count removed.", "community": 12, "community_name": "Community 12", "source_file": "tools_api/storage.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_router_py", "label": "router.py", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 14.7, "font": {"size": 12, "color": "#ffffff"}, "title": "router.py", "community": 12, "community_name": "Community 12", "source_file": "tools_api/router.py", "file_type": "code", "degree": 11}, {"id": "tools_api_router_save_upload", "label": "_save_upload()", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 13.0, "font": {"size": 0, "color": "#ffffff"}, "title": "_save_upload()", "community": 12, "community_name": "Community 12", "source_file": "tools_api/router.py", "file_type": "code", "degree": 7}, {"id": "tools_api_router_ext_to_media_type", "label": "_ext_to_media_type()", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": "_ext_to_media_type()", "community": 12, "community_name": "Community 12", "source_file": "tools_api/router.py", "file_type": "code", "degree": 2}, {"id": "tools_api_router_subtitles_endpoint", "label": "subtitles_endpoint()", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "subtitles_endpoint()", "community": 12, "community_name": "Community 12", "source_file": "tools_api/router.py", "file_type": "code", "degree": 5}, {"id": "tools_api_router_voice_clone_endpoint", "label": "voice_clone_endpoint()", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "voice_clone_endpoint()", "community": 12, "community_name": "Community 12", "source_file": "tools_api/router.py", "file_type": "code", "degree": 4}, {"id": "tools_api_router_dramabox_endpoint", "label": "dramabox_endpoint()", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "dramabox_endpoint()", "community": 12, "community_name": "Community 12", "source_file": "tools_api/router.py", "file_type": "code", "degree": 4}, {"id": "tools_api_router_audio_cleanup_endpoint", "label": "audio_cleanup_endpoint()", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "audio_cleanup_endpoint()", "community": 12, "community_name": "Community 12", "source_file": "tools_api/router.py", "file_type": "code", "degree": 4}, {"id": "tools_api_router_tools_file", "label": "tools_file()", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 12.6, "font": {"size": 0, "color": "#ffffff"}, "title": "tools_file()", "community": 12, "community_name": "Community 12", "source_file": "tools_api/router.py", "file_type": "code", "degree": 6}, {"id": "tools_api_router_reap", "label": "_reap()", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_reap()", "community": 12, "community_name": "Community 12", "source_file": "tools_api/router.py", "file_type": "code", "degree": 3}, {"id": "tools_api_router_rationale_1", "label": "APIRouter for /api/tools/* endpoints.  Each endpoint is sync request-response (n", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "APIRouter for /api/tools/* endpoints.  Each endpoint is sync request-response (n", "community": 12, "community_name": "Community 12", "source_file": "tools_api/router.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_router_rationale_37", "label": "Stream upload to disk, enforcing the tools size cap.", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Stream upload to disk, enforcing the tools size cap.", "community": 12, "community_name": "Community 12", "source_file": "tools_api/router.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_router_rationale_292", "label": "Serve a generated artifact. Run dirs auto-expire after RUN_TTL_SECONDS.", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Serve a generated artifact. Run dirs auto-expire after RUN_TTL_SECONDS.", "community": 12, "community_name": "Community 12", "source_file": "tools_api/router.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_router_rationale_316", "label": "Manual reap trigger (mostly for testing). Auto-reap runs on a timer.", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Manual reap trigger (mostly for testing). Auto-reap runs on a timer.", "community": 12, "community_name": "Community 12", "source_file": "tools_api/router.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_audio_cleanup_py", "label": "audio_cleanup.py", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "audio_cleanup.py", "community": 11, "community_name": "Community 11", "source_file": "tools_api/audio_cleanup.py", "file_type": "code", "degree": 5}, {"id": "tools_api_audio_cleanup_ensure_audio", "label": "_ensure_audio()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_ensure_audio()", "community": 11, "community_name": "Community 11", "source_file": "tools_api/audio_cleanup.py", "file_type": "code", "degree": 3}, {"id": "tools_api_audio_cleanup_separate_all_stems", "label": "_separate_all_stems()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 13.0, "font": {"size": 0, "color": "#ffffff"}, "title": "_separate_all_stems()", "community": 11, "community_name": "Community 11", "source_file": "tools_api/audio_cleanup.py", "file_type": "code", "degree": 7}, {"id": "tools_api_audio_cleanup_sum_to_wav", "label": "_sum_to_wav()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_sum_to_wav()", "community": 11, "community_name": "Community 11", "source_file": "tools_api/audio_cleanup.py", "file_type": "code", "degree": 3}, {"id": "tools_api_audio_cleanup_separate", "label": "separate()", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "separate()", "community": 11, "community_name": "Community 11", "source_file": "tools_api/audio_cleanup.py", "file_type": "code", "degree": 5}, {"id": "tools_api_audio_cleanup_rationale_1", "label": "Audio source separation tool \u2014 three modes via Demucs.  Reuses internals from st", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Audio source separation tool \u2014 three modes via Demucs.  Reuses internals from st", "community": 11, "community_name": "Community 11", "source_file": "tools_api/audio_cleanup.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_audio_cleanup_rationale_29", "label": "Convert input to a stable WAV format if it's a video or non-WAV audio.", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Convert input to a stable WAV format if it&#x27;s a video or non-WAV audio.", "community": 11, "community_name": "Community 11", "source_file": "tools_api/audio_cleanup.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_audio_cleanup_rationale_46", "label": "Return {stem_name: wav_path} for every demucs source.", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Return {stem_name: wav_path} for every demucs source.", "community": 11, "community_name": "Community 11", "source_file": "tools_api/audio_cleanup.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_audio_cleanup_rationale_67", "label": "Sum N stem WAVs into one \u2014 used to build the instrumental track.", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Sum N stem WAVs into one \u2014 used to build the instrumental track.", "community": 11, "community_name": "Community 11", "source_file": "tools_api/audio_cleanup.py", "file_type": "rationale", "degree": 1}, {"id": "tools_api_audio_cleanup_rationale_86", "label": "Run separation. Returns a list of output descriptors:       [{\"name\": \"vocals.wa", "color": {"background": "#F28E2B", "border": "#F28E2B", "highlight": {"background": "#ffffff", "border": "#F28E2B"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Run separation. Returns a list of output descriptors:       [{&quot;name&quot;: &quot;vocals.wa", "community": 11, "community_name": "Community 11", "source_file": "tools_api/audio_cleanup.py", "file_type": "rationale", "degree": 1}, {"id": "steps_s6_captions_py", "label": "s6_captions.py", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "s6_captions.py", "community": 8, "community_name": "Community 8", "source_file": "steps/s6_captions.py", "file_type": "code", "degree": 5}, {"id": "s6_captions_format_ass_time", "label": "_format_ass_time()", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_format_ass_time()", "community": 8, "community_name": "Community 8", "source_file": "steps/s6_captions.py", "file_type": "code", "degree": 4}, {"id": "s6_captions_build_karaoke_chunks", "label": "_build_karaoke_chunks()", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_build_karaoke_chunks()", "community": 8, "community_name": "Community 8", "source_file": "steps/s6_captions.py", "file_type": "code", "degree": 3}, {"id": "s6_captions_format_karaoke_line", "label": "_format_karaoke_line()", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_format_karaoke_line()", "community": 8, "community_name": "Community 8", "source_file": "steps/s6_captions.py", "file_type": "code", "degree": 4}, {"id": "s6_captions_generate_captions", "label": "generate_captions()", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 13.0, "font": {"size": 0, "color": "#ffffff"}, "title": "generate_captions()", "community": 8, "community_name": "Community 8", "source_file": "steps/s6_captions.py", "file_type": "code", "degree": 7}, {"id": "s6_captions_rationale_1", "label": "Step 6b: Generate ASS subtitle file from translated segments.  Produces OpusClip", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Step 6b: Generate ASS subtitle file from translated segments.  Produces OpusClip", "community": 8, "community_name": "Community 8", "source_file": "steps/s6_captions.py", "file_type": "rationale", "degree": 1}, {"id": "s6_captions_rationale_14", "label": "Convert seconds to ASS timestamp format: H:MM:SS.cc", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Convert seconds to ASS timestamp format: H:MM:SS.cc", "community": 8, "community_name": "Community 8", "source_file": "steps/s6_captions.py", "file_type": "rationale", "degree": 1}, {"id": "s6_captions_rationale_28", "label": "Split text into timed word chunks for karaoke display.      Distributes the segm", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Split text into timed word chunks for karaoke display.      Distributes the segm", "community": 8, "community_name": "Community 8", "source_file": "steps/s6_captions.py", "file_type": "rationale", "degree": 1}, {"id": "s6_captions_rationale_88", "label": "Format a karaoke chunk as an ASS Dialogue line.      For RTL chunks: reverse the", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Format a karaoke chunk as an ASS Dialogue line.      For RTL chunks: reverse the", "community": 8, "community_name": "Community 8", "source_file": "steps/s6_captions.py", "file_type": "rationale", "degree": 1}, {"id": "s6_captions_rationale_139", "label": "Generate an ASS subtitle file with karaoke-style word highlights.      Args:", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Generate an ASS subtitle file with karaoke-style word highlights.      Args:", "community": 8, "community_name": "Community 8", "source_file": "steps/s6_captions.py", "file_type": "rationale", "degree": 1}, {"id": "steps_s5_sync_py", "label": "s5_sync.py", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 16.0, "font": {"size": 12, "color": "#ffffff"}, "title": "s5_sync.py", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 14}, {"id": "s5_sync_get_wav_duration", "label": "_get_wav_duration()", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_get_wav_duration()", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 4}, {"id": "s5_sync_speedup_audio", "label": "_speedup_audio()", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_speedup_audio()", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 4}, {"id": "s5_sync_pad_silence", "label": "_pad_silence()", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "_pad_silence()", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 5}, {"id": "s5_sync_trim_audio", "label": "_trim_audio()", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_trim_audio()", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 3}, {"id": "s5_sync_detect_pauses", "label": "_detect_pauses()", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_detect_pauses()", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 3}, {"id": "s5_sync_find_tts_silences", "label": "_find_tts_silences()", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_find_tts_silences()", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 3}, {"id": "s5_sync_read_wav_samples", "label": "_read_wav_samples()", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_read_wav_samples()", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 4}, {"id": "s5_sync_write_wav_samples", "label": "_write_wav_samples()", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "_write_wav_samples()", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 4}, {"id": "s5_sync_pause_aware_sync", "label": "_pause_aware_sync()", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 14.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_pause_aware_sync()", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 10}, {"id": "s5_sync_compress_silences", "label": "_compress_silences()", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": "_compress_silences()", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 5}, {"id": "s5_sync_distribute_padding", "label": "_distribute_padding()", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 12.6, "font": {"size": 0, "color": "#ffffff"}, "title": "_distribute_padding()", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 6}, {"id": "s5_sync_generate_silence", "label": "_generate_silence()", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "_generate_silence()", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 3}, {"id": "s5_sync_sync_and_stitch", "label": "sync_and_stitch()", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 13.9, "font": {"size": 0, "color": "#ffffff"}, "title": "sync_and_stitch()", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "code", "degree": 9}, {"id": "s5_sync_rationale_1", "label": "Step 6: Audio sync \u2014 match synthesised segment durations to original timestamps.", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Step 6: Audio sync \u2014 match synthesised segment durations to original timestamps.", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_25", "label": "Speed up/slow down audio by factor using ffmpeg atempo (supports 0.5\u2013100x via ch", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Speed up/slow down audio by factor using ffmpeg atempo (supports 0.5\u2013100x via ch", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_49", "label": "Pad audio with silence to reach target_duration seconds.", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Pad audio with silence to reach target_duration seconds.", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_65", "label": "Trim audio to exactly duration seconds.", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Trim audio to exactly duration seconds.", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_75", "label": "Find gaps between consecutive words that exceed min_pause seconds.      Returns", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Find gaps between consecutive words that exceed min_pause seconds.      Returns", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_93", "label": "Find silence regions in a TTS WAV using RMS energy.      Returns list of {start,", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Find silence regions in a TTS WAV using RMS energy.      Returns list of {start,", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_140", "label": "Read a mono 16-bit WAV and return (samples, sample_rate).", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Read a mono 16-bit WAV and return (samples, sample_rate).", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_148", "label": "Write 16-bit mono samples to a WAV file.", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Write 16-bit mono samples to a WAV file.", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_159", "label": "Sync TTS audio using pause-aware strategy: compress silences first, then atempo.", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Sync TTS audio using pause-aware strategy: compress silences first, then atempo.", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_226", "label": "Rewrite WAV with silence regions compressed to keep_ratio of their original dura", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Rewrite WAV with silence regions compressed to keep_ratio of their original dura", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_253", "label": "Insert extra silence distributed across detected pause points.", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Insert extra silence distributed across detected pause points.", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_285", "label": "Generate a silent WAV file of given duration.", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Generate a silent WAV file of given duration.", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "s5_sync_rationale_300", "label": "Sync each TTS segment to its original timestamp window and stitch into a single", "color": {"background": "#EDC948", "border": "#EDC948", "highlight": {"background": "#ffffff", "border": "#EDC948"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Sync each TTS segment to its original timestamp window and stitch into a single", "community": 15, "community_name": "Community 15", "source_file": "steps/s5_sync.py", "file_type": "rationale", "degree": 1}, {"id": "steps_init_py", "label": "__init__.py", "color": {"background": "#BAB0AC", "border": "#BAB0AC", "highlight": {"background": "#ffffff", "border": "#BAB0AC"}}, "size": 10.0, "font": {"size": 0, "color": "#ffffff"}, "title": "__init__.py", "community": 29, "community_name": "Community 29", "source_file": "steps/__init__.py", "file_type": "code", "degree": 0}, {"id": "steps_s4_preview_py", "label": "s4_preview.py", "color": 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"community": 2, "community_name": "Community 2", "source_file": "qwen_tts/core/tokenizer_25hz/vq/whisper_encoder.py", "file_type": "code", "degree": 2}, {"id": "whisper_encoder_whisperencoder_forward", "label": ".forward()", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": ".forward()", "community": 2, "community_name": "Community 2", "source_file": "qwen_tts/core/tokenizer_25hz/vq/whisper_encoder.py", "file_type": "code", "degree": 2}, {"id": "whisper_encoder_whisperencoder_lock", "label": ".lock()", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": ".lock()", "community": 2, "community_name": "Community 2", "source_file": "qwen_tts/core/tokenizer_25hz/vq/whisper_encoder.py", "file_type": "code", "degree": 1}, {"id": "whisper_encoder_rationale_45", "label": "load the mel filterbank matrix for projecting STFT into a Mel spectrogram.     A", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "load the mel filterbank matrix for projecting STFT into a Mel spectrogram.     A", "community": 2, "community_name": "Community 2", "source_file": "qwen_tts/core/tokenizer_25hz/vq/whisper_encoder.py", "file_type": "rationale", "degree": 1}, {"id": "whisper_encoder_rationale_68", "label": "Compute the log-Mel spectrogram of      Parameters     ----------     audio: Uni", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Compute the log-Mel spectrogram of      Parameters     ----------     audio: Uni", "community": 2, "community_name": "Community 2", "source_file": "qwen_tts/core/tokenizer_25hz/vq/whisper_encoder.py", "file_type": "rationale", "degree": 1}, {"id": "whisper_encoder_rationale_130", "label": "Returns sinusoids for positional embedding", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": 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{"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": ".__init__()", "community": 2, "community_name": "Community 2", "source_file": "qwen_tts/core/tokenizer_25hz/vq/core_vq.py", "file_type": "code", "degree": 4}, {"id": "core_vq_distributedresidualvectorquantization_forward", "label": ".forward()", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": ".forward()", "community": 2, "community_name": "Community 2", "source_file": "qwen_tts/core/tokenizer_25hz/vq/core_vq.py", "file_type": "code", "degree": 1}, {"id": "core_vq_distributedresidualvectorquantization_encode", "label": ".encode()", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": ".encode()", "community": 2, "community_name": "Community 2", "source_file": "qwen_tts/core/tokenizer_25hz/vq/core_vq.py", "file_type": "code", "degree": 3}, {"id": "core_vq_distributedresidualvectorquantization_decode", "label": ".decode()", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": ".decode()", "community": 2, "community_name": "Community 2", "source_file": "qwen_tts/core/tokenizer_25hz/vq/core_vq.py", "file_type": "code", "degree": 2}, {"id": "core_vq_distributedgroupresidualvectorquantization", "label": "DistributedGroupResidualVectorQuantization", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 15.1, "font": {"size": 12, "color": "#ffffff"}, "title": "DistributedGroupResidualVectorQuantization", "community": 2, "community_name": 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"core_vq_distributedgroupresidualvectorquantization_encode", "label": ".encode()", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 12.6, "font": {"size": 0, "color": "#ffffff"}, "title": ".encode()", "community": 2, "community_name": "Community 2", "source_file": "qwen_tts/core/tokenizer_25hz/vq/core_vq.py", "file_type": "code", "degree": 6}, {"id": "core_vq_distributedgroupresidualvectorquantization_decode", "label": ".decode()", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": ".decode()", "community": 2, "community_name": "Community 2", "source_file": "qwen_tts/core/tokenizer_25hz/vq/core_vq.py", "file_type": "code", "degree": 4}, {"id": "core_vq_rationale_114", "label": "Codebook with Euclidean distance.     Args:         dim (int): Dimension.", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Codebook with Euclidean distance.     Args:         dim (int): Dimension.", "community": 2, "community_name": "Community 2", "source_file": "qwen_tts/core/tokenizer_25hz/vq/core_vq.py", "file_type": "rationale", "degree": 1}, {"id": "core_vq_rationale_252", "label": "Vector quantization implementation.     Currently, supports only euclidean dista", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Vector quantization implementation.     Currently, supports only euclidean dista", "community": 2, "community_name": "Community 2", "source_file": "qwen_tts/core/tokenizer_25hz/vq/core_vq.py", "file_type": "rationale", "degree": 1}, {"id": "core_vq_rationale_335", "label": "Efficient distributed residual vector quantization implementation.     Follows A", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Efficient distributed residual vector quantization implementation.     Follows A", "community": 2, "community_name": "Community 2", "source_file": "qwen_tts/core/tokenizer_25hz/vq/core_vq.py", "file_type": "rationale", "degree": 1}, {"id": "core_vq_rationale_478", "label": "Efficient distributed group residual vector quantization implementation.     Fol", "color": {"background": "#E15759", "border": "#E15759", "highlight": {"background": "#ffffff", "border": "#E15759"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Efficient distributed group residual vector quantization implementation.     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"color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 31.0, "font": {"size": 12, "color": "#ffffff"}, "title": "Qwen3TTSTalkerCodePredictorConfig", "community": 0, "community_name": "Community 0", "source_file": "qwen_tts/core/models/configuration_qwen3_tts.py", "file_type": "code", "degree": 49}, {"id": "configuration_qwen3_tts_qwen3ttstalkercodepredictorconfig_init", "label": ".__init__()", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": ".__init__()", "community": 0, "community_name": "Community 0", "source_file": "qwen_tts/core/models/configuration_qwen3_tts.py", "file_type": "code", "degree": 2}, {"id": "configuration_qwen3_tts_qwen3ttstalkerconfig", "label": "Qwen3TTSTalkerConfig", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", 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"community_name": "Community 0", "source_file": "qwen_tts/core/models/configuration_qwen3_tts.py", "file_type": "code", "degree": 48}, {"id": "configuration_qwen3_tts_qwen3ttsconfig_init", "label": ".__init__()", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 12.1, "font": {"size": 0, "color": "#ffffff"}, "title": ".__init__()", "community": 0, "community_name": "Community 0", "source_file": "qwen_tts/core/models/configuration_qwen3_tts.py", "file_type": "code", "degree": 5}, {"id": "configuration_qwen3_tts_rationale_23", "label": "r\"\"\"     This is the configuration class to store the configuration of a [`Qwen3", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "r&quot;&quot;&quot;     This is the configuration class to store the configuration of a [`Qwen3", "community": 0, "community_name": "Community 0", "source_file": "qwen_tts/core/models/configuration_qwen3_tts.py", "file_type": "rationale", "degree": 1}, {"id": "configuration_qwen3_tts_rationale_71", "label": "r\"\"\"     This is the configuration class to store the configuration of a [`Qwen3", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "r&quot;&quot;&quot;     This is the configuration class to store the configuration of a [`Qwen3", "community": 0, "community_name": "Community 0", "source_file": "qwen_tts/core/models/configuration_qwen3_tts.py", "file_type": "rationale", "degree": 1}, {"id": "configuration_qwen3_tts_rationale_260", "label": "r\"\"\"     This is the configuration class to store the configuration of a [`Qwen3", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "r&quot;&quot;&quot;     This is the configuration class to store the configuration of a [`Qwen3", "community": 0, "community_name": "Community 0", "source_file": "qwen_tts/core/models/configuration_qwen3_tts.py", "file_type": "rationale", "degree": 1}, {"id": "configuration_qwen3_tts_rationale_455", "label": "This is the configuration class to store the configuration of a [`Qwen3TTSForCon", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "This is the configuration class to store the configuration of a [`Qwen3TTSForCon", "community": 0, "community_name": "Community 0", "source_file": "qwen_tts/core/models/configuration_qwen3_tts.py", "file_type": "rationale", "degree": 1}, {"id": "qwen_tts_core_models_init_py", "label": "__init__.py", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 11.3, "font": {"size": 0, "color": "#ffffff"}, "title": "__init__.py", "community": 0, "community_name": "Community 0", "source_file": "qwen_tts/core/models/__init__.py", "file_type": "code", "degree": 3}, {"id": "qwen_tts_core_models_processing_qwen3_tts_py", "label": "processing_qwen3_tts.py", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 11.7, "font": {"size": 0, "color": "#ffffff"}, "title": "processing_qwen3_tts.py", "community": 0, "community_name": "Community 0", "source_file": "qwen_tts/core/models/processing_qwen3_tts.py", "file_type": "code", "degree": 4}, {"id": "processing_qwen3_tts_qwen3ttsprocessorkwargs", "label": "Qwen3TTSProcessorKwargs", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": 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"title": ".__call__()", "community": 4, "community_name": "Community 4", "source_file": "qwen_tts/core/models/processing_qwen3_tts.py", "file_type": "code", "degree": 2}, {"id": "processing_qwen3_tts_qwen3ttsprocessor_batch_decode", "label": ".batch_decode()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.9, "font": {"size": 0, "color": "#ffffff"}, "title": ".batch_decode()", "community": 4, "community_name": "Community 4", "source_file": "qwen_tts/core/models/processing_qwen3_tts.py", "file_type": "code", "degree": 2}, {"id": "processing_qwen3_tts_qwen3ttsprocessor_decode", "label": ".decode()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 12.6, "font": {"size": 0, "color": "#ffffff"}, "title": ".decode()", "community": 4, "community_name": "Community 4", "source_file": "qwen_tts/core/models/processing_qwen3_tts.py", "file_type": "code", "degree": 6}, {"id": "processing_qwen3_tts_qwen3ttsprocessor_apply_chat_template", "label": ".apply_chat_template()", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": ".apply_chat_template()", "community": 4, "community_name": "Community 4", "source_file": "qwen_tts/core/models/processing_qwen3_tts.py", "file_type": "code", "degree": 1}, {"id": "processing_qwen3_tts_model_input_names", "label": "model_input_names()", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "model_input_names()", "community": 0, "community_name": "Community 0", "source_file": "qwen_tts/core/models/processing_qwen3_tts.py", "file_type": "code", "degree": 1}, {"id": "processing_qwen3_tts_rationale_28", "label": "r\"\"\"     Constructs a Qwen3TTS processor.      Args:         tokenizer ([`Qwen2T", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "r&quot;&quot;&quot;     Constructs a Qwen3TTS processor.      Args:         tokenizer ([`Qwen2T", "community": 4, "community_name": "Community 4", "source_file": "qwen_tts/core/models/processing_qwen3_tts.py", "file_type": "rationale", "degree": 1}, {"id": "processing_qwen3_tts_rationale_47", "label": "Main method to prepare for the model one or several sequences(s) and audio(s). T", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "Main method to prepare for the model one or several sequences(s) and audio(s). T", "community": 4, "community_name": "Community 4", "source_file": "qwen_tts/core/models/processing_qwen3_tts.py", "file_type": "rationale", "degree": 1}, {"id": "processing_qwen3_tts_rationale_78", "label": "This method forwards all its arguments to Qwen2TokenizerFast's [`~PreTrainedToke", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.4, "font": {"size": 0, "color": "#ffffff"}, "title": "This method forwards all its arguments to Qwen2TokenizerFast&#x27;s [`~PreTrainedToke", "community": 4, "community_name": "Community 4", "source_file": "qwen_tts/core/models/processing_qwen3_tts.py", "file_type": "rationale", "degree": 1}, {"id": "processing_qwen3_tts_rationale_85", "label": "This method forwards all its arguments to Qwen2TokenizerFast's [`~PreTrainedToke", "color": {"background": "#59A14F", "border": "#59A14F", "highlight": {"background": "#ffffff", "border": "#59A14F"}}, "size": 10.4, "font": 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"packages_ffmpeg", "label": "depends_on", "title": "depends_on [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "readme_step_ffmpeg_merge", "to": "logs_s6_captions", "label": "realizes", "title": "realizes [INFERRED]", "dashes": true, "width": 1, "color": {"opacity": 0.35}, "confidence": "INFERRED"}, {"from": "readme_server_py", "to": "readme_app_py", "label": "semantically_similar_to", "title": "semantically_similar_to [INFERRED]", "dashes": true, "width": 1, "color": {"opacity": 0.35}, "confidence": "INFERRED"}, {"from": "readme_server_py", "to": "readme_api_jobs", "label": "defines", "title": "defines [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "readme_server_py", "to": "readme_api_job_status", "label": "defines", "title": "defines [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "readme_server_py", "to": "readme_api_job_result", "label": "defines", "title": "defines [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "readme_server_py", "to": "readme_api_config", "label": "defines", "title": "defines [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "readme_server_py", "to": "readme_api_health", "label": "defines", "title": "defines [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "readme_app_py", "to": "readme_zerogpu", "label": "uses", "title": "uses [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "readme_app_py", "to": "readme_api_run_pipeline", "label": "defines", "title": "defines [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "readme_api_jobs", "to": "frontend_app_panel", "label": "calls", "title": "calls [INFERRED]", "dashes": true, "width": 1, "color": {"opacity": 0.35}, "confidence": "INFERRED"}, {"from": "frontend_indexhtml", "to": "frontend_hero_section", "label": "contains", "title": "contains [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "frontend_indexhtml", "to": "frontend_app_panel", "label": "contains", "title": "contains [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "frontend_indexhtml", "to": "frontend_pricing", "label": "contains", "title": "contains [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "frontend_indexhtml", "to": "frontend_compare_table", "label": "contains", "title": "contains [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "frontend_indexhtml", "to": "frontend_appjs_ref", "label": "loads", "title": "loads [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "frontend_app_panel", "to": "frontend_voice_mode_selector", "label": "contains", "title": "contains [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "frontend_app_panel", "to": "frontend_lang_select", "label": "contains", "title": "contains [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "logs_pipeline_run", "to": "logs_s1b_demucs_mps", "label": "contains", "title": "contains [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "logs_pipeline_run", "to": "logs_s2_mlx_whisper", "label": "contains", "title": "contains [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "logs_pipeline_run", "to": "logs_s3_pollinations", "label": "contains", "title": "contains [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "logs_pipeline_run", "to": "logs_s4_tts_109s", "label": "contains", "title": "contains [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "logs_pipeline_run", "to": "logs_s5_pause_aware", "label": "contains", "title": "contains [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "logs_pipeline_run", "to": "logs_s6_captions", "label": "contains", "title": "contains [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "logs_s5_pause_aware", "to": "concat_list_synced", "label": "output_of", "title": "output_of [INFERRED]", "dashes": true, "width": 1, "color": {"opacity": 0.35}, "confidence": "INFERRED"}];
+const LEGEND = [{"cid": 0, "color": "#4E79A7", "label": "Community 0", "count": 141}, {"cid": 1, "color": "#F28E2B", "label": "Community 1", "count": 130}, {"cid": 2, "color": "#E15759", "label": "Community 2", "count": 89}, {"cid": 3, "color": "#76B7B2", "label": "Community 3", "count": 81}, {"cid": 4, "color": "#59A14F", "label": "Community 4", "count": 60}, {"cid": 5, "color": "#EDC948", "label": "Community 5", "count": 60}, {"cid": 6, "color": "#B07AA1", "label": "Community 6", "count": 55}, {"cid": 7, "color": "#FF9DA7", "label": "Community 7", "count": 49}, {"cid": 8, "color": "#9C755F", "label": "Community 8", "count": 39}, {"cid": 9, "color": "#BAB0AC", "label": "Community 9", "count": 37}, {"cid": 10, "color": "#4E79A7", "label": "Community 10", "count": 37}, {"cid": 11, "color": "#F28E2B", "label": "Community 11", "count": 35}, {"cid": 12, "color": "#E15759", "label": "Community 12", "count": 31}, {"cid": 13, "color": "#76B7B2", "label": "Community 13", "count": 31}, {"cid": 14, "color": "#59A14F", "label": "Community 14", "count": 27}, {"cid": 15, "color": "#EDC948", "label": "Community 15", "count": 27}, {"cid": 16, "color": "#B07AA1", "label": "Community 16", "count": 19}, {"cid": 17, "color": "#FF9DA7", "label": "Community 17", "count": 13}, {"cid": 18, "color": "#9C755F", "label": "Community 18", "count": 13}, {"cid": 19, "color": "#BAB0AC", "label": "Community 19", "count": 12}, {"cid": 20, "color": "#4E79A7", "label": "Community 20", "count": 10}, {"cid": 21, "color": "#F28E2B", "label": "Community 21", "count": 7}, {"cid": 22, "color": "#E15759", "label": "Community 22", "count": 6}, {"cid": 23, "color": "#76B7B2", "label": "Community 23", "count": 6}, {"cid": 24, "color": "#59A14F", "label": "Community 24", "count": 2}, {"cid": 25, "color": "#EDC948", "label": "Community 25", "count": 2}, {"cid": 26, "color": "#B07AA1", "label": "Community 26", "count": 1}, {"cid": 27, "color": "#FF9DA7", "label": "Community 27", "count": 1}, {"cid": 28, "color": "#9C755F", "label": "Community 28", "count": 1}, {"cid": 29, "color": "#BAB0AC", "label": "Community 29", "count": 1}, {"cid": 30, "color": "#4E79A7", "label": "Community 30", "count": 1}, {"cid": 31, "color": "#F28E2B", "label": "Community 31", "count": 1}, {"cid": 32, "color": "#E15759", "label": "Community 32", "count": 1}, {"cid": 33, "color": "#76B7B2", "label": "Community 33", "count": 1}, {"cid": 34, "color": "#59A14F", "label": "Community 34", "count": 1}, {"cid": 35, "color": "#EDC948", "label": "Community 35", "count": 1}, {"cid": 36, "color": "#B07AA1", "label": "Community 36", "count": 1}, {"cid": 37, "color": "#FF9DA7", "label": "Community 37", "count": 1}, {"cid": 38, "color": "#9C755F", "label": "Community 38", "count": 1}, {"cid": 39, "color": "#BAB0AC", "label": "Community 39", "count": 1}, {"cid": 40, "color": "#4E79A7", "label": "Community 40", "count": 1}, {"cid": 41, "color": "#F28E2B", "label": "Community 41", "count": 1}, {"cid": 42, "color": "#E15759", "label": "Community 42", "count": 1}, {"cid": 43, "color": "#76B7B2", "label": "Community 43", "count": 1}, {"cid": 44, "color": "#59A14F", "label": "Community 44", "count": 1}, {"cid": 45, "color": "#EDC948", "label": "Community 45", "count": 1}, {"cid": 46, "color": "#B07AA1", "label": "Community 46", "count": 1}, {"cid": 47, "color": "#FF9DA7", "label": "Community 47", "count": 1}, {"cid": 48, "color": "#9C755F", "label": "Community 48", "count": 1}, {"cid": 49, "color": "#BAB0AC", "label": "Community 49", "count": 1}, {"cid": 50, "color": "#4E79A7", "label": "Community 50", "count": 1}, {"cid": 51, "color": "#F28E2B", "label": "Community 51", "count": 1}, {"cid": 52, "color": "#E15759", "label": "Community 52", "count": 1}, {"cid": 53, "color": "#76B7B2", "label": "Community 53", "count": 1}, {"cid": 54, "color": "#59A14F", "label": "Community 54", "count": 1}, {"cid": 55, "color": "#EDC948", "label": "Community 55", "count": 1}, {"cid": 56, "color": "#B07AA1", "label": "Community 56", "count": 1}, {"cid": 57, "color": "#FF9DA7", "label": "Community 57", "count": 1}, {"cid": 58, "color": "#9C755F", "label": "Community 58", "count": 1}, {"cid": 59, "color": "#BAB0AC", "label": "Community 59", "count": 1}, {"cid": 60, "color": "#4E79A7", "label": "Community 60", "count": 1}, {"cid": 61, "color": "#F28E2B", "label": "Community 61", "count": 1}, {"cid": 62, "color": "#E15759", "label": "Community 62", "count": 1}, {"cid": 63, "color": "#76B7B2", "label": "Community 63", "count": 1}, {"cid": 64, "color": "#59A14F", "label": "Community 64", "count": 1}, {"cid": 65, "color": "#EDC948", "label": "Community 65", "count": 1}, {"cid": 66, "color": "#B07AA1", "label": "Community 66", "count": 1}, {"cid": 67, "color": "#FF9DA7", "label": "Community 67", "count": 1}, {"cid": 68, "color": "#9C755F", "label": "Community 68", "count": 1}, {"cid": 69, "color": "#BAB0AC", "label": "Community 69", "count": 1}, {"cid": 70, "color": "#4E79A7", "label": "Community 70", "count": 1}, {"cid": 71, "color": "#F28E2B", "label": "Community 71", "count": 1}];
 
 // HTML-escape helper — prevents XSS when injecting graph data into innerHTML
 function esc(s) {