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import os
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from openai import OpenAI
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# https://help.aliyun.com/zh/model-studio/developer-reference/deepseek?spm=a2c4g.11186623.0.0.274b1d1c4GY0Zd
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from pathlib import Path
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API_KEY = "sk-01d13a39e09844038322108ecdbd1bbc"
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client = OpenAI(
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# 若没有配置环境变量，请用百炼API Key将下行替换为：api_key="sk-xxx",
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api_key=API_KEY, # 如何获取API Key：https://help.aliyun.com/zh/model-studio/developer-reference/get-api-key
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base_url="https://dashscope.aliyuncs.com/compatible-mode/v1"
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)
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# 读取文本文件内容
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file_path = Path(r"D:\dsWork\QingLong\音频文本.txt")
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if file_path.exists():
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# 自动处理文件编码（默认utf-8），读取内容
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content = file_path.read_text(encoding='utf-8')
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else:
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print(f"文件 {file_path} 不存在")
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exit(0)
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# Send request.
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completion = client.chat.completions.create(
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model="deepseek-v3", # 此处以 deepseek-r1 为例，可按需更换模型名称。
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messages=[
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{'role': 'user', 'content': "帮我梳理：这节课分了几个部分，每部分的名称和开始的时间是多少："+content}
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]
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)
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# 通过reasoning_content字段打印思考过程
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#print("思考过程：")
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#print(completion.choices[0].message.reasoning_content)
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# 通过content字段打印最终答案
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print("最终答案：")
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print(completion.choices[0].message.content)
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