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from fastapi import FastAPI, HTTPException
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from pydantic import BaseModel
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from paddlespeech.cli.tts.infer import TTSExecutor
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app = FastAPI()
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tts_executor = TTSExecutor()
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class TextRequest(BaseModel):
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text: str
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def warm_up_tts():
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default_text = "初始化文本" # 你可以使用任何你喜欢的文本
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output_file = "warm_up_output.wav" # 暖身合成结果的输出文件名
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# 调用合成功能
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try:
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tts_executor(text=default_text, output=output_file)
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except Exception as e:
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print(f"Error during warm-up: {e}")
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# 在应用启动时进行暖身合成
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warm_up_tts()
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@app.post("/synthesize/")
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async def synthesize_text(text_request: TextRequest):
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text = text_request.text
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output_file = "output.wav" # You can customize the output file name if needed
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try:
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tts_executor(text=text, output=output_file)
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return {"message": "语音合成成功", "output_file": output_file}
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except Exception as e:
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raise HTTPException(status_code=500, detail=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=8000)
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