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