server_fastAPI.py

from fastapi import FastAPI, HTTPException, Response
from pydantic import BaseModel
from elevenlabs import generate_speech

app = FastAPI()

class SpeechRequest(BaseModel):
    model: str
    input: str
    voice: str

@app.post("/v1/audio/speech")
async def create_speech(request: SpeechRequest):
    try:
        # Map the OpenAI-style request to your ElevenLabs function
        result = generate_speech(
            model=request.model,
            voice=request.voice,
            input_text=request.input
        )
        
        if isinstance(result, list):
            # If result is a list, it means there was an error
            raise HTTPException(status_code=result[0], detail=result[1])
        
        # If successful, return the audio content
        return Response(content=result, media_type="audio/mpeg")
    
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))

@app.get("/")
async def root():
    return {"message": "Welcome to the Text-to-Speech API"}

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=7860)

    # print("Sample URL: http://localhost:7860/v1/audio/speech?model=eleven_multilingual_v2&input=Hello+world&voice=XB0fDUnXU5powFXDhCwa")