Update app.py

app.py

@@ -6,52 +6,36 @@ import sys
 if not os.path.exists("VV_Clone_1"):
     subprocess.run(["git", "clone", "https://github.com/Socold/VV_Clone_1.git"])
 
-# Ajouter au path
 sys.path.insert(0, "VV_Clone_1")
 
-# Installer les dépendances directement
+# Installer les dépendances
 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
 subprocess.run([sys.executable, "-m", "pip", "install", "-e", "VV_Clone_1"])
 
 import torch
 import gradio as gr
 from demo.gradio_demo import VibeVoiceDemo
 
-# Configuration pour le modèle LARGE
+# Configuration
 MODEL_PATH = "aoi-ot/VibeVoice-Large"
-
 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 - SANS torch_dtype
-try:
-    demo = VibeVoiceDemo(
-        model_path=MODEL_PATH,
-        device="cuda" if torch.cuda.is_available() else "cpu"
-        # Enlever torch_dtype d'ici
-    )
-    
-    interface = demo.create_interface()
-    interface.launch(
-        auth=(USERNAME, PASSWORD),
-        server_name="0.0.0.0",
-        share=False
-    )
-except Exception as e:
-    print(f"Erreur: {e}")
-    import traceback
-    traceback.print_exc()
-    
-    # Interface de fallback
-    def error_fn(text):
-        return f"Erreur: {e}"
-    gr.Interface(fn=error_fn, inputs="text", outputs="text", title="VibeVoice - Erreur").launch()
+print(f"GPU: {torch.cuda.get_device_name(0) if torch.cuda.is_available() else 'CPU'}")
+print(f"VRAM: {torch.cuda.get_device_properties(0).total_memory / 1024**3:.2f} GB")
+
+# Créer l'instance et la lancer DIRECTEMENT
+demo_instance = VibeVoiceDemo(
+    model_path=MODEL_PATH,
+    device="cuda" if torch.cuda.is_available() else "cpu"
+)
+
+# Lancer directement avec l'authentification
+demo_instance.launch(
+    auth=(USERNAME, PASSWORD),
+    server_name="0.0.0.0",
+    share=False
+)