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from openai import OpenAI
def dm01():
client = OpenAI(
api_key="sk-0797e0871d044ca5a9baf9d30216cd1a",
base_url="https://api.deepseek.com")
response = client.chat.completions.create(
model="deepseek-chat",
messages=[
{"role": "system", "content": "You are a helpful assistant"},
{"role": "user", "content": "Hello"},
],
stream=False
)
print(response.choices[0].message.content)
# 调用第三方模型远程这里以DeepSeek为例。
def dm02(prompt):
# 创建客户端
client = OpenAI(api_key="sk-0797e0871d044ca5a9baf9d30216cd1a", base_url="https://api.deepseek.com")
# 创建会话
response = client.chat.completions.create(
# 模型deepseek-chat是deepseek-v3
# 模型deepseek-reasoner是deepseek-r1
model="deepseek-chat",
messages=[
{"role": "system", "content": "你是一个ai助手"},
{"role": "user", "content": prompt},
],
stream=False
)
# 打印结果
print(response.choices[0].message.content)
if __name__ == '__main__':
# dm01()
prompt="我要做中文新闻文本分类的任务大概数据如下体验2D巅峰 倚天屠龙记十大创新概览 8 60年铁树开花形状似玉米芯(组图) 5 同步A股首秀港股缩量回调 2 最终要求对应的类别如下所示finance,realty,stocks,education,science,society,politics,sports,game,entertainment"
dm02(prompt)
# 调用大模型来实现分类任务
# dm02("体验2D巅峰 倚天屠龙记十大创新概览")