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import os
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import uuid
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from fastapi import FastAPI, Form, HTTPException
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from openai import OpenAI
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from TtsConfig import *
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from WxMini.OssUtil import upload_mp3_to_oss
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from WxMini.TTS import TTS
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# 初始化 FastAPI 应用
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app = FastAPI()
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# 初始化 OpenAI 客户端
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client = OpenAI(
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api_key=MODEL_API_KEY,
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base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
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)
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@app.post("/reply")
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async def reply(prompt: str = Form(...)):
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"""
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接收用户输入的 prompt，调用大模型并返回结果
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:param prompt: 用户输入的 prompt
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:return: 大模型的回复
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"""
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try:
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# 调用大模型
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response = client.chat.completions.create(
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model=MODEL_NAME,
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messages=[
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{"role": "system", "content": "你是一个非常好的聊天伙伴，可以疏导用户，帮他解压,一句控制在20字以内。"},
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{"role": "user", "content": prompt}
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],
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max_tokens=500
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)
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# 提取生成的回复
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if response.choices and response.choices[0].message.content:
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result = response.choices[0].message.content.strip()
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# 调用tts进行生成mp3
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# 生成一个uuid的文件名
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uuid_str = str(uuid.uuid4())
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tts_file = "audio/" + uuid_str + ".mp3"
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t = TTS(tts_file)
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t.start(result)
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# 文件上传到oss
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upload_mp3_to_oss(tts_file, tts_file)
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# 删除临时文件
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try:
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os.remove(tts_file)
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print(f"临时文件 {tts_file} 已删除")
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except Exception as e:
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print(f"删除临时文件失败: {e}")
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# 完整的url
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url = 'https://ylt.oss-cn-hangzhou.aliyuncs.com/' + tts_file
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return {"success": True, "url": url}
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else:
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raise HTTPException(status_code=500, detail="大模型未返回有效结果")
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"调用大模型失败: {str(e)}")
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# 运行 FastAPI 应用
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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=5500)
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