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from openai import OpenAI
from pathlib import Path
# https://help.aliyun.com/zh/model-studio/developer-reference/deepseek?spm=a2c4g.11186623.0.0.274b1d1c4GY0Zd
API_KEY = " sk-01d13a39e09844038322108ecdbd1bbc "
client = OpenAI (
api_key = API_KEY ,
base_url = " https://dashscope.aliyuncs.com/compatible-mode/v1 "
)
# 读取文本文件内容
file_path = Path ( r " D: \ dsWork \ QingLong \ 音频文本.txt " )
if file_path . exists ( ) :
# 自动处理文件编码（ ） ，
content = file_path . read_text ( encoding = ' utf-8 ' )
else :
print ( f " 文件 { file_path } 不存在 " )
exit ( 0 )
completion = client . chat . completions . create (
model = " deepseek-v3 " , # 此处以 deepseek-r1 为例，可按需更换模型名称。
messages = [
{ ' 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 }
]
)
# 通过content字段打印最终答案
print ( completion . choices [ 0 ] . message . content )
