v0

app.py

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+import torch
+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+from TTS.api import TTS
+import uvicorn
+import tempfile
+from fastapi.responses import FileResponse
+
+# Charger le modèle TTS
+MODEL_NAME = "tts_models/en/vctk/vits"
+tts = TTS(MODEL_NAME)
+
+# Initialiser l'application FastAPI
+app = FastAPI()
+
+class TextInput(BaseModel):
+    text: str
+
+@app.post("/tts")
+def generate_tts(input: TextInput):
+    """Génère un fichier audio à partir du texte donné."""
+    if not input.text.strip():
+        raise HTTPException(status_code=400, detail="Le texte ne peut pas être vide.")
+    
+    try:
+        with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmpfile:
+            output_path = tmpfile.name
+        
+        # Générer l'audio
+        tts.tts_to_file(text=input.text, file_path=output_path)
+        
+        return FileResponse(output_path, media_type="audio/wav", filename="output.wav")
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+if __name__ == "__main__":
+    uvicorn.run(app, host="0.0.0.0", port=7860)

requirements.txt

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+huggingface_hub
+fastapi
+uvicorn
+TTS
+torch