fix: move all output and storage directories from /tmp to local app subdirectories to fix Gradio serving issues on HF; explicitly allow results/checkpoints paths; set Audio type to filepath

app.py

@@ -357,15 +357,18 @@ with gr.Blocks(
                     preview_vocals = gr.Audio(
                         label="Voz original (separada)",
                         interactive=False,
+                        type="filepath",
                     )
                     preview_converted = gr.Audio(
                         label="Voz convertida",
                         interactive=False,
+                        type="filepath",
                     )
                     gr.Markdown("**Resultado final:**")
                     final_output = gr.Audio(
                         label="Canción final (voz + instrumentos)",
                         interactive=False,
+                        type="filepath",
                     )
 
             refresh_btn.click(
@@ -443,4 +446,11 @@ with gr.Blocks(
 
 
 if __name__ == "__main__":
-    app.launch()
+    os.makedirs("./results", exist_ok=True)
+    os.makedirs("./checkpoints/models", exist_ok=True)
+    app.launch(
+        allowed_paths=[
+            os.path.abspath("./results"),
+            os.path.abspath("./checkpoints"),
+        ]
+    )

pipeline/constants.py

@@ -0,0 +1,7 @@
+import os
+
+# Use a local directory instead of /tmp to ensure Gradio can serve the files easily on HF
+BASE_DIR = os.path.dirname(os.path.abspath(__file__))
+RESULTS_DIR = os.path.join(BASE_DIR, "results")
+
+os.makedirs(RESULTS_DIR, exist_ok=True)

pipeline/inference.py

@@ -23,7 +23,8 @@ except ImportError:
                 return fn
             return decorator
 
-OUTPUT_DIR = "/tmp/rvc_output"
+from .constants import RESULTS_DIR
+OUTPUT_DIR = os.path.join(RESULTS_DIR, "conversion")
 
 # Cached models (loaded once, reused across calls)
 _model_cache = {}

pipeline/mixing.py

@@ -15,7 +15,8 @@ from pedalboard import (
 
 logger = logging.getLogger(__name__)
 
-OUTPUT_DIR = "/tmp/rvc_output"
+from .constants import RESULTS_DIR
+OUTPUT_DIR = os.path.join(RESULTS_DIR, "mixing")
 
 
 def _process_vocals(vocals: np.ndarray, sr: int) -> np.ndarray:

pipeline/separation.py

@@ -19,7 +19,8 @@ except ImportError:
             return decorator
 
 
-OUTPUT_DIR = "/tmp/demucs_output"
+from .constants import RESULTS_DIR
+OUTPUT_DIR = os.path.join(RESULTS_DIR, "separation")
 
 
 def _separate_audio_impl(audio_path: str, model_name: str = "htdemucs_ft"):

pipeline/storage.py

@@ -9,7 +9,7 @@ from datetime import datetime
 logger = logging.getLogger(__name__)
 
 MODELS_REPO_ID = None
-LOCAL_MODELS_DIR = "/tmp/rvc_models"
+LOCAL_MODELS_DIR = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), "checkpoints", "models")
 
 
 def init_storage(repo_id):