| 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 |
|
|
| |
| os.makedirs("static", exist_ok=True) |
| os.makedirs("templates", exist_ok=True) |
|
|
| app = FastAPI(title="Pyxilabs._.Vocify", description="A Text-to-Speech API") |
|
|
| |
| app.mount("/static", StaticFiles(directory="static"), name="static") |
|
|
| |
| templates = Jinja2Templates(directory="templates") |
|
|
| VOICE_MAPPING = { |
| "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="eleven_multilingual_v2") |
| input: str = Field(..., max_length=500) |
| voice: str |
|
|
| @app.post("/v1/audio/speech") |
| @app.get("/v1/audio/speech") |
| async def create_speech(request: SpeechRequest): |
| try: |
| result = generate_speech( |
| model=request.model, |
| voice=request.voice, |
| 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.post("/v1/voices") |
| @app.get("/v1/voices") |
| async def get_voices(): |
| return {"voices": list(VOICE_MAPPING.keys())} |
|
|
| @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) |