Update app.py

app.py

@@ -9,14 +9,12 @@ if not os.path.exists("VV_Clone_1"):
 # Ajouter au path
 sys.path.insert(0, "VV_Clone_1")
 
-# Installer les dépendances
-#subprocess.run([sys.executable, "-m", "pip", "install", "-q", "-r", "VV_Clone_1/requirements.txt"])
-# Au lieu de chercher requirements.txt, installer directement les dépendances
+# Installer les dépendances directement
 subprocess.run([sys.executable, "-m", "pip", "install", "-q", 
     "torch", "transformers>=4.40.0", "accelerate", "gradio>=4.0.0",
     "soundfile", "librosa", "scipy", "numpy", "ffmpeg-python"])
 
-# Installer le projet VV_Clone_1
+# Installer le projet
 subprocess.run([sys.executable, "-m", "pip", "install", "-e", "VV_Clone_1"])
 
 import torch
@@ -24,23 +22,22 @@ import gradio as gr
 from demo.gradio_demo import VibeVoiceDemo
 
 # Configuration pour le modèle LARGE
-# MODEL_PATH = "microsoft/VibeVoice-1.5B"  # Commencez avec celui-ci
-MODEL_PATH = "aoi-ot/VibeVoice-Large"  # Le modèle Large directement
+MODEL_PATH = "aoi-ot/VibeVoice-Large"
 
-USERNAME = "socold01"  
-PASSWORD = "V#ztdUeS4Zp$0Z4ZB^y3DWhJ" 
+USERNAME = "socold01"
+PASSWORD = "V#ztdUeS4Zp$0Z4ZB^y3DWhJ"
 
 print(f"GPU disponible: {torch.cuda.is_available()}")
 if torch.cuda.is_available():
     print(f"GPU: {torch.cuda.get_device_name(0)}")
     print(f"VRAM: {torch.cuda.get_device_properties(0).total_memory / 1024**3:.2f} GB")
 
-# Créer et lancer l'app
+# Créer et lancer l'app - SANS torch_dtype
 try:
     demo = VibeVoiceDemo(
         model_path=MODEL_PATH,
-        device="cuda" if torch.cuda.is_available() else "cpu",
-        torch_dtype=torch.float16  # Optimisation mémoire
+        device="cuda" if torch.cuda.is_available() else "cpu"
+        # Enlever torch_dtype d'ici
     )
     
     interface = demo.create_interface()
@@ -51,13 +48,10 @@ try:
     )
 except Exception as e:
     print(f"Erreur: {e}")
+    import traceback
+    traceback.print_exc()
+    
     # Interface de fallback
     def error_fn(text):
-        return f"Erreur de chargement: {e}\nVérifiez les logs"
-    
-    gr.Interface(
-        fn=error_fn, 
-        inputs="text", 
-        outputs="text",
-        title="VibeVoice - Erreur de chargement"
-    ).launch()
+        return f"Erreur: {e}"
+    gr.Interface(fn=error_fn, inputs="text", outputs="text", title="VibeVoice - Erreur").launch()