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57 lines
1.6 KiB
Python
57 lines
1.6 KiB
Python
from fastapi import FastAPI, File, UploadFile, HTTPException
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from fastapi.responses import JSONResponse
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from tempfile import NamedTemporaryFile
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from funasr import AutoModel
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from funasr.utils.postprocess_utils import rich_transcription_postprocess
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import os
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# 加载模型
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model_dir = "./iic/SenseVoiceSmall"
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model = AutoModel(
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model=model_dir,
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trust_remote_code=True,
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remote_code="./model.py",
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vad_model="fsmn-vad",
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vad_kwargs={"max_single_segment_time": 30000},
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device="cuda:0",
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)
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app = FastAPI()
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@app.post("/v1/audio/transcriptions")
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async def handler(file: UploadFile = File(...)):
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if not file:
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raise HTTPException(status_code=400, detail="No file was provided")
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# 使用NamedTemporaryFile创建临时文件
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with NamedTemporaryFile(delete=False) as temp_file:
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# 将用户上传的文件写入临时文件
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content = await file.read()
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temp_file.write(content)
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temp_file_path = temp_file.name
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try:
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# 开始运行模型
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result = model.generate(
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input=temp_file_path,
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cache={},
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language="auto",
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use_itn=True,
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batch_size_s=60,
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merge_vad=True,
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merge_length_s=15,
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)
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text = rich_transcription_postprocess(result[0]["text"])
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# 返回包含结果的JSON响应
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return JSONResponse(content={'text': text})
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finally:
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# 删除临时文件
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os.unlink(temp_file_path)
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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=8000)
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