41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
from fastapi import FastAPI, File, UploadFile
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from fastapi.middleware.cors import CORSMiddleware
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from mvector.predict import MVectorPredictor
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import os
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app = FastAPI()
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# 允许跨域
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_methods=["*"],
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allow_headers=["*"],
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)
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predictor = MVectorPredictor(configs='configs/ecapa_tdnn.yml')
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@app.post("/recognize")
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async def recognize(file: UploadFile = File(...)):
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try:
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audio_bytes = await file.read()
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result = predictor.recognition(audio_bytes)
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return {"status": 200, "data": result}
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except Exception as e:
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return {"status": 500, "error": str(e)}
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@app.post("/compare")
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async def compare(file1: UploadFile = File(...), file2: UploadFile = File(...)):
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try:
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score = predictor.contrast(
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await file1.read(),
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await file2.read()
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)
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return {"similarity": float(score)}
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except Exception as e:
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return {"status": 500, "error": str(e)}
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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=9001)
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