from fastapi import FastAPI, HTTPException, Response, Request from fastapi.responses import HTMLResponse from fastapi.staticfiles import StaticFiles from fastapi.templating import Jinja2Templates from pydantic import BaseModel, Field from typing import Optional from vocify import generate_speech import os # Create necessary directories if they don't exist os.makedirs("static", exist_ok=True) os.makedirs("templates", exist_ok=True) app = FastAPI(title="Pyxilabs._.Vocify", description="A Text-to-Speech API") # Mount static files directory app.mount("/static", StaticFiles(directory="static"), name="static") # Initialize templates templates = Jinja2Templates(directory="templates") # Model and voice information structure MODEL_INFO = { "Pyx r1-voice": { "name": "Pyx r1-voice", "created": "2024-12-12", "owner": "Pyxilabs AI Studio", "voices": { "charlottee": "XB0fDUnXU5powFXDhCwa", "daniel": "onwK4e9ZLuTAKqWW03F9", "callum": "N2lVS1w4EtoT3dr4eOWO", "charlie": "IKne3meq5aSn9XLyUdCD", "clyde": "2EiwWnXFnvU5JabPnv8n", "dave": "CYw3kZ02Hs0563khs1Fj", "emily": "LcfcDJNUP1GQjkzn1xUU", "ethan": "g5CIjZEefAph4nQFvHAz", "fin": "D38z5RcWu1voky8WS1ja", "freya": "jsCqWAovK2LkecY7zXl4", "gigi": "jBpfuIE2acCO8z3wKNLl", "giovanni": "zcAOhNBS3c14rBihAFp1", "glinda": "z9fAnlkpzviPz146aGWa", "grace": "oWAxZDx7w5VEj9dCyTzz", "harry": "SOYHLrjzK2X1ezoPC6cr", "james": "ZQe5CZNOzWyzPSCn5a3c", "jeremy": "bVMeCyTHy58xNoL34h3p" } } } class SpeechRequest(BaseModel): model: Optional[str] = Field(default="Pyx r1-voice") input: str = Field(..., max_length=5000) voice: str @app.post("/v1/audio/speech") @app.get("/v1/audio/speech") async def create_speech(request: SpeechRequest): try: if request.model != "Pyx r1-voice": raise HTTPException(status_code=400, detail="Invalid model. Only 'Pyx r1-voice' is supported.") if request.voice not in MODEL_INFO["Pyx r1-voice"]["voices"]: raise HTTPException(status_code=400, detail="Invalid voice ID") voice_id = MODEL_INFO["Pyx r1-voice"]["voices"][request.voice] result = generate_speech( model="eleven_multilingual_v2", voice=voice_id, input_text=request.input ) if isinstance(result, list): raise HTTPException(status_code=result[0], detail=result[1]) return Response(content=result, media_type="audio/mpeg") except Exception as e: raise HTTPException(status_code=500, detail=str(e)) @app.get("/v1/models") async def get_models(): models_response = [] for model_id, model_data in MODEL_INFO.items(): model_info = { "id": model_id, "name": model_data["name"], "created": model_data["created"], "owner": model_data["owner"], "vocals": [ { "id": voice_name, } for voice_name, voice_id in model_data["voices"].items() ] } models_response.append(model_info) return {"models": models_response} @app.get("/", response_class=HTMLResponse) async def root(request: Request): with open("templates/index.html", "r") as file: return HTMLResponse(content=file.read()) if __name__ == "__main__": import uvicorn uvicorn.run(app, host="0.0.0.0", port=7860)