File size: 16,652 Bytes
fbe59b1
 
 
8c9f65d
 
c6c42d9
 
7d31f48
8c9f65d
c6c42d9
8c9f65d
c6c42d9
fbe59b1
 
 
 
 
 
 
ff6ba78
7d31f48
fbe59b1
7d31f48
fbe59b1
 
 
 
8c9f65d
fbe59b1
 
c6c42d9
 
 
 
 
 
 
 
 
 
 
7d31f48
 
 
8c9f65d
7d31f48
c6c42d9
7d31f48
 
 
 
 
 
 
 
 
c6c42d9
8c9f65d
7d31f48
 
 
 
 
 
 
c6c42d9
7d31f48
c6c42d9
 
7d31f48
c6c42d9
 
ff6ba78
 
 
 
7d31f48
 
 
 
 
 
 
 
 
 
 
 
c6c42d9
 
ff6ba78
 
7d31f48
 
 
fbe59b1
7d31f48
 
c6c42d9
7d31f48
 
 
fbe59b1
 
 
 
 
 
 
 
 
 
8c9f65d
fbe59b1
7d31f48
 
 
 
 
 
 
fbe59b1
 
7d31f48
 
 
 
c6c42d9
7d31f48
 
 
 
fbe59b1
 
7d31f48
 
fbe59b1
 
 
7d31f48
fbe59b1
 
7d31f48
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
fbe59b1
 
 
a245ad8
fbe59b1
 
a245ad8
7d31f48
a245ad8
c6c42d9
 
a245ad8
 
ff6ba78
 
a245ad8
 
c6c42d9
ff6ba78
a245ad8
c6c42d9
ff6ba78
 
 
 
 
 
c6c42d9
7d31f48
a245ad8
 
fbe59b1
a245ad8
 
fbe59b1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
c6c42d9
fbe59b1
 
 
 
 
8c9f65d
a245ad8
fbe59b1
c6c42d9
 
 
 
8c9f65d
fbe59b1
 
 
8c9f65d
fbe59b1
 
 
 
 
 
 
 
7d31f48
fbe59b1
 
 
 
 
c6c42d9
fbe59b1
 
7d31f48
 
 
 
c6c42d9
7d31f48
 
 
 
 
 
c6c42d9
 
 
 
 
7d31f48
c6c42d9
ff6ba78
7d31f48
 
 
8c9f65d
 
c6c42d9
8c9f65d
7d31f48
8c9f65d
7d31f48
c6c42d9
7d31f48
 
 
c6c42d9
 
7d31f48
 
 
c6c42d9
 
 
 
 
7d31f48
c6c42d9
7d31f48
 
 
 
 
c6c42d9
7d31f48
 
 
c6c42d9
 
 
 
 
 
7d31f48
 
c6c42d9
fbe59b1
 
 
ff6ba78
fbe59b1
c6c42d9
 
fbe59b1
 
c6c42d9
a245ad8
fbe59b1
 
 
 
 
 
a245ad8
fbe59b1
c6c42d9
fbe59b1
 
 
 
 
 
 
ff6ba78
fbe59b1
 
 
 
 
 
 
 
7d31f48
ff6ba78
fbe59b1
 
c6c42d9
fbe59b1
 
 
 
 
 
c6c42d9
 
fbe59b1
a245ad8
fbe59b1
 
 
7d31f48
 
fbe59b1
a245ad8
fbe59b1
7d31f48
 
 
 
 
 
 
 
 
 
 
fbe59b1
 
 
a245ad8
fbe59b1
 
 
 
c6c42d9
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
"""
VoiceVerse AI β€” Main Application.

Input sources (three tabs):
  Tab 1 β€” Upload PDF or TXT file
  Tab 2 β€” URL / YouTube link
  Tab 3 β€” Paste raw text

Delivery Modes:
  Summary / Podcast / Song / Rap / Debate

No status card shown. RAG pipeline unchanged.
"""

import os
import gradio as gr
from utils import logger, validate_file, format_error
from rag import extract_text, RAGStore
from script_gen import generate_script
from tts import generate_audio, generate_audio_podcast, generate_audio_debate, generate_audio_rap, generate_audio_story
from ingestion import ingest_from_url_or_text, extract_pasted_text

# ── Global RAG Store ──────────────────────────────────────────────────────────
rag_store = RAGStore()


# ══════════════════════════════════════════════════════════════════════════════
# Shared RAG + Script + TTS pipeline
# ══════════════════════════════════════════════════════════════════════════════

def _run_pipeline(
    text: str,
    delivery_mode: str,
    song_rap_sub: str,
    progress,
) -> tuple[str, str]:
    """
    RAG β†’ script β†’ audio. Shared by all three input tabs.
    Returns (script, audio_path).
    """
    # RAG: chunk & embed
    progress(0.30, desc="🧠 Building knowledge index…")
    rag_store.add_document(text)
    chunk_count = len(rag_store.chunks)
    logger.info("RAG index: %d chunks", chunk_count)

    # RAG: retrieve
    progress(0.45, desc="πŸ” Retrieving relevant content…")
    if chunk_count <= 8:
        context_chunks = rag_store.get_all_chunks()
    else:
        context_chunks = rag_store.query(
            "What are the main topics, key insights, and important details?",
            top_k=6,
        )

    # Script generation
    progress(0.60, desc=f"✍️ Writing {_mode_label(delivery_mode, song_rap_sub)} script…")
    script = generate_script(
        context_chunks=context_chunks,
        mode=delivery_mode,
        sub_mode=song_rap_sub,
    )
    logger.info("Script: %d chars", len(script))

    # TTS β€” route by mode
    progress(0.80, desc="πŸŽ™οΈ Synthesising audio…")
    m = delivery_mode.strip().lower()
    if m == "podcast":
        audio_path, engine = generate_audio_podcast(script)
    elif m == "debate":
        audio_path, engine = generate_audio_debate(script)
    elif m == "song / rap" and song_rap_sub.lower() == "rap":
        audio_path, engine = generate_audio_rap(script)
    elif m == "story":
        audio_path, engine = generate_audio_story(script)
    else:
        audio_path, engine = generate_audio(script)
    logger.info("Audio via %s: %s", engine, audio_path)

    progress(1.00, desc="βœ… Done!")
    return script, audio_path


def _mode_label(mode: str, sub_mode: str) -> str:
    m = mode.lower()
    if "podcast" in m:
        return "podcast"
    if "debate" in m:
        return "debate"
    if "story" in m:
        return "story"
    if "song" in m or "rap" in m:
        return sub_mode.lower()
    return "summary"


# ══════════════════════════════════════════════════════════════════════════════
# Per-tab handlers
# ══════════════════════════════════════════════════════════════════════════════

def process_file(file, delivery_mode, song_rap_sub, progress=gr.Progress()):
    if file is None:
        raise gr.Error("Please upload a PDF or TXT file first.")
    file_path = file.name if hasattr(file, "name") else str(file)
    is_valid, msg = validate_file(file_path)
    if not is_valid:
        raise gr.Error(msg)
    try:
        progress(0.10, desc="πŸ“„ Extracting text from document…")
        text = extract_text(file_path)
        if not text or len(text.strip()) < 50:
            raise gr.Error("Document has too little text. Please upload a richer file.")
        progress(0.20, desc="βœ… Text extracted")
        return _run_pipeline(text, delivery_mode, song_rap_sub, progress)
    except gr.Error:
        raise
    except EnvironmentError as e:
        raise gr.Error(str(e))
    except Exception as e:
        raise gr.Error(format_error("pipeline", e))


def process_url(url_input, delivery_mode, song_rap_sub, progress=gr.Progress()):
    if not url_input or not url_input.strip():
        raise gr.Error("Please enter a URL or YouTube link.")
    try:
        progress(0.05, desc="🌐 Fetching content…")
        text, source_label = ingest_from_url_or_text(url_input.strip())
        logger.info("Ingested from %s: %d chars", source_label, len(text))
        progress(0.20, desc=f"βœ… Content fetched from {source_label}")
        return _run_pipeline(text, delivery_mode, song_rap_sub, progress)
    except gr.Error:
        raise
    except ValueError as e:
        raise gr.Error(str(e))
    except EnvironmentError as e:
        raise gr.Error(str(e))
    except Exception as e:
        raise gr.Error(format_error("pipeline", e))


def process_paste(pasted_text, delivery_mode, song_rap_sub, progress=gr.Progress()):
    if not pasted_text or not pasted_text.strip():
        raise gr.Error("Please paste some text first.")
    try:
        progress(0.10, desc="πŸ“‹ Processing pasted text…")
        text = extract_pasted_text(pasted_text)
        progress(0.20, desc="βœ… Text ready")
        return _run_pipeline(text, delivery_mode, song_rap_sub, progress)
    except gr.Error:
        raise
    except ValueError as e:
        raise gr.Error(str(e))
    except EnvironmentError as e:
        raise gr.Error(str(e))
    except Exception as e:
        raise gr.Error(format_error("pipeline", e))


# ══════════════════════════════════════════════════════════════════════════════
# UI helpers
# ══════════════════════════════════════════════════════════════════════════════

def _mode_description(mode: str) -> str:
    return {
        "Summary": (
            "*πŸ“‹ **Summary** β€” Structured narration: intro, key points, conclusion. "
            "Single voice, neutral tone.*"
        ),
        "Podcast": (
            "*πŸŽ™οΈ **Podcast** β€” Two-host conversation. Female host guides; "
            "Male host explains. Dual voices.*"
        ),
        "Song / Rap": (
            "*🎡 **Song / Rap** β€” Key ideas as a rhythmic track. "
            "Song = smooth flow Β· Rap = fast, punchy, bass-boosted.*"
        ),
        "Debate": (
            "*βš”οΈ **Debate** β€” Two debaters argue opposing sides. "
            "Female voice (pro, assertive) vs Male voice (con, deliberate).*"
        ),
        "Story": (
            "*πŸ“– **Story** β€” Content retold as an immersive narrative. "
            "Slow, warm delivery with expressive pauses.*"
        ),
    }.get(mode, "")


def _on_mode_change(mode: str):
    show_sub = "song" in mode.lower() or "rap" in mode.lower()
    return gr.update(visible=show_sub), _mode_description(mode)


# ══════════════════════════════════════════════════════════════════════════════
# Gradio UI
# ══════════════════════════════════════════════════════════════════════════════

def build_ui() -> gr.Blocks:

    css = """
    .main-header { text-align: center; margin-bottom: 1rem; }
    .main-header h1 {
        background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
        -webkit-background-clip: text;
        -webkit-text-fill-color: transparent;
        font-size: 2.5rem;
        font-weight: 800;
        margin-bottom: 0.25rem;
    }
    .main-header p { color: #6b7280; font-size: 1.1rem; }

    .mode-card {
        background: linear-gradient(135deg, #f8f7ff 0%, #f0edff 100%);
        border: 1px solid #e0d9ff;
        border-radius: 12px;
        padding: 1rem 1.25rem;
        margin-top: 0.75rem;
        margin-bottom: 0.75rem;
    }

    /* Hide the "Radio" label Gradio adds automatically */
    #delivery-mode-radio .label-wrap { display: none !important; }

    .url-hint { color: #6b7280; font-size: 0.82rem; margin-top: 0.3rem; }
    """

    with gr.Blocks(
        title="VoiceVerse AI",
        theme=gr.themes.Soft(primary_hue="indigo", secondary_hue="purple"),
        css=css,
    ) as app:

        # ── Header ───────────────────────────────────────────────────────────
        gr.HTML("""
        <div class="main-header">
            <h1>πŸŽ™οΈ VoiceVerse AI</h1>
            <p>Transform any content into an engaging audio experience</p>
        </div>
        """)

        with gr.Row(equal_height=False):

            # ── LEFT COLUMN ───────────────────────────────────────────────────
            with gr.Column(scale=1):

                gr.Markdown("### πŸ“₯ Choose Your Content Source")

                with gr.Tabs():

                    # ── Tab 1: File upload ────────────────────────────────────
                    with gr.Tab("πŸ“„ File Upload"):
                        file_input = gr.File(
                            label="Upload a PDF or TXT file",
                            file_types=[".pdf", ".txt"],
                            type="filepath",
                        )
                        file_btn = gr.Button(
                            "πŸŽ™οΈ Generate Audio",
                            variant="primary",
                            size="lg",
                        )

                    # ── Tab 2: URL / YouTube ──────────────────────────────────
                    with gr.Tab("πŸ”— URL"):
                        url_input = gr.Textbox(
                            label=None,
                            placeholder=(
                                "Paste any link here…\n\n"
                                "β–Ά  YouTube:  https://youtube.com/watch?v=...\n"
                                "πŸ“° Article:  https://example.com/article\n"
                                "🌐 Website:  https://en.wikipedia.org/wiki/..."
                            ),
                            lines=5,
                            max_lines=6,
                            show_label=False,
                        )
                        gr.HTML(
                            "<p class='url-hint'>"
                            "βœ… Works with: YouTube (with captions), news articles, "
                            "blogs, Wikipedia, most public pages.<br>"
                            "❌ Won't work: paywalled or login-required pages."
                            "</p>"
                        )
                        url_btn = gr.Button(
                            "πŸŽ™οΈ Generate Audio",
                            variant="primary",
                            size="lg",
                        )

                    # ── Tab 3: Paste text ─────────────────────────────────────
                    with gr.Tab("πŸ“‹ Paste Text"):
                        paste_input = gr.Textbox(
                            label=None,
                            placeholder=(
                                "Paste any text here β€” article content, notes, "
                                "transcripts, research, anything…"
                            ),
                            lines=10,
                            max_lines=40,
                            show_label=False,
                        )
                        paste_btn = gr.Button(
                            "πŸŽ™οΈ Generate Audio",
                            variant="primary",
                            size="lg",
                        )

                # ── Delivery Mode card ────────────────────────────────────────
                gr.Markdown("### 🎨 Choose Audio Experience")

                delivery_mode = gr.Radio(
                    choices=["Summary", "Podcast", "Song / Rap", "Debate", "Story"],
                    value="Summary",
                    show_label=False,          # removes the "Radio" label
                    elem_id="delivery-mode-radio",
                )

                # Song/Rap sub-option β€” hidden unless Song/Rap is selected
                with gr.Row(visible=False) as song_rap_row:
                    song_rap_sub = gr.Radio(
                        choices=["Song", "Rap"],
                        value="Rap",
                        label="Style",
                    )

                mode_description = gr.Markdown(value=_mode_description("Summary"))

            # ── RIGHT COLUMN ──────────────────────────────────────────────────
            with gr.Column(scale=1):

                gr.Markdown("### 🎧 Generated Audio")
                audio_output = gr.Audio(
                    label="Audio",
                    type="filepath",
                    interactive=False,
                    show_download_button=True,
                )

                gr.Markdown("### ✍️ Generated Script")
                script_output = gr.Textbox(
                    label="Script",
                    lines=14,
                    max_lines=22,
                    interactive=False,
                    placeholder="Your generated script will appear here…",
                    show_copy_button=True,
                )

        # ── Footer ───────────────────────────────────────────────────────────
        gr.Markdown(
            "<center style='color:#9ca3af;margin-top:1rem;'>"
            "Built with ❀️ using SmolLM3-3B · Qwen3-TTS · Edge-TTS · Gradio"
            "</center>"
        )

        # ── Event wiring ─────────────────────────────────────────────────────

        delivery_mode.change(
            fn=_on_mode_change,
            inputs=[delivery_mode],
            outputs=[song_rap_row, mode_description],
        )
        file_btn.click(
            fn=process_file,
            inputs=[file_input, delivery_mode, song_rap_sub],
            outputs=[script_output, audio_output],
        )
        url_btn.click(
            fn=process_url,
            inputs=[url_input, delivery_mode, song_rap_sub],
            outputs=[script_output, audio_output],
        )
        paste_btn.click(
            fn=process_paste,
            inputs=[paste_input, delivery_mode, song_rap_sub],
            outputs=[script_output, audio_output],
        )

    return app


# ── Entry point ───────────────────────────────────────────────────────────────

if __name__ == "__main__":
    logger.info("Starting VoiceVerse AI…")
    app = build_ui()
    app.launch(
        server_name="0.0.0.0",
        server_port=7860,
        share=False,
        show_error=True,
    )