Create app.py

app.py

@@ -0,0 +1,56 @@
+import os
+import subprocess
+import sys
+
+# Cloner votre repository
+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
+subprocess.run([sys.executable, "-m", "pip", "install", "-q", "-r", "VV_Clone_1/requirements.txt"])
+
+import torch
+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
+
+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
+try:
+    demo = VibeVoiceDemo(
+        model_path=MODEL_PATH,
+        device="cuda" if torch.cuda.is_available() else "cpu",
+        torch_dtype=torch.float16  # Optimisation mémoire
+    )
+    
+    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}")
+    # 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()