使用chatglm3本地部署形成的api给上一篇得到的网页信息text_content做内容提取，

chatglm3的api调用见：chatglm3的api调用_启动chatglm3的api服务报错-CSDN博客

import os
from openai import OpenAI
 
base_url = "http://localhost:5000/v1/"
client = OpenAI(api_key="EMPTY", base_url=base_url)
def simple_chat(use_stream=True,use_content="你好，带在华政搞计算机有前途么"):
    messages = [
        {
            "role": "system",
            "content": "You are ChatGLM3, a large language model trained by Zhipu.AI. Follow the user's instructions carefully. Respond using markdown.",
        },
        {
            "role": "user",
            "content":"简化成4句话"+ use_content
        }
    ]
    response = client.chat.completions.create(
        model="chatglm3-6b",
        messages=messages,
        stream=use_stream,
        max_tokens=256,
        temperature=0.8,
        presence_penalty=1.1,
        top_p=0.8)
    if response:
        if use_stream:
            for chunk in response:
                print(chunk.choices[0].delta.content)
        else:
            content = response.choices[0].message.content
            print(content)
    else:
        print("Error:", response.status_code)
if __name__ == "__main__":
 
    simple_chat(use_stream=False,use_content=text_content)

执行效果如下：