python实现DeepSeek问答页（stream式） 

 1 from openai import OpenAI
 2 from flask import Flask, request, jsonify ,Response
 3 from flask_cors import CORS
 4 import requests
 5 import os
 6 
 7 app = Flask(__name__)
 8 CORS(app)
 9 # 初始化OpenAI客户端
10 client = OpenAI(
11     # 如果没有配置环境变量，请用百炼API Key替换：api_key="sk-xxx"
12     api_key = "sk-034c7d21eaec4",
13     base_url="https://dashscope.aliyuncs.com/compatible-mode/v1"
14 )
15 
16 @app.route('/chat', methods=['GET'])
17 def chat():
18     q = request.args.get('q')
19     def generate():
20         
21         is_answering = False
22         total_token = 0
23 
24         try:
25             # 创建聊天完成请求
26             completion = client.chat.completions.create(
27                 model="deepseek-v3",  # 此处以 deepseek-r1 为例，可按需更换模型名称
28                 messages=[
29                     {"role": "user", "content": q}
30                 ],
31                 stream=True,
32                 # 解除以下注释会在最后一个chunk返回Token使用量
33                 stream_options={
34                     "include_usage": True
35                 }
36             )
37 
38             for chunk in completion:
39                 # 如果chunk.choices为空，则打印usage
40                 if not chunk.choices:
41                     print("\nUsage:")
42                     print(chunk.usage)
43                 else:
44                     delta = chunk.choices[0].delta
45                     # 打印思考过程
46                     if hasattr(delta, 'reasoning_content') and delta.reasoning_content != None:
47                         #print(delta.reasoning_content, end='', flush=True)
48                         reasoning_content += delta.reasoning_content
49                     else:
50                         # 开始回复
51                         if delta.content != "" and is_answering == False:
52                             #print("\n" + "=" * 20 + "完整回复" + "=" * 20 + "\n")
53                             is_answering = True
54                         # 打印回复过程
55                         #print(delta.content, end='', flush=True)
56                         yield f"data:{delta.content}\n\n"
57             
58             yield f"data: [END]\n\n"
59 
60         except Exception as e:
61             return jsonify({"error": str(e)}), 500
62 
63     return Response(generate(), mimetype='text/event-stream')
64 
65 if __name__ == '__main__':
66     app.run(host='0.0.0.0',debug=True,port="5000")

 

<!DOCTYPE html>
<html lang="en">

<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>大模型问答页</title>
    <style>
        body {
            font-family: Arial, sans-serif;
            padding: 20px;
        }

        #question {
            width: 100%;
            padding: 10px;
            margin-bottom: 10px;
        }

        #submit {
            padding: 10px 20px;
            background-color: #007BFF;
            color: white;
            border: none;
            cursor: pointer;
        }

        #answer {
            margin-top: 20px;
            padding: 10px;
            border: 1px solid #ccc;
            min-height: 100px;
        }
    </style>
</head>

<body>
    <input type="text" id="question" placeholder="请输入你的问题">
    <button id="submit">提交</button>
    <div id="answer"></div>

    <script>
        document.getElementById('submit').addEventListener('click', function () {
            const question = document.getElementById('question').value;
            if (question) {
                // 清空之前的回答
                document.getElementById('answer').textContent = '';
                // 创建 EventSource 对象，请求后端流式接口
                const eventSource = new EventSource(`http://127.0.0.1:5000/chat?q=${encodeURIComponent(question)}`);

                eventSource.onmessage = function (event) {
                    // console.log(event)
                    const answerElement = document.getElementById('answer');
                    // 将新接收到的数据追加到回答区域
                    if (event.data === '[END]') {
                        console.log('数据接收结束');
                        answerElement.textContent += "[回答完毕]"
                        eventSource.close();
                    }else{
                        answerElement.textContent += event.data;
                    }
                    
                };

                eventSource.onerror = function (error) {
                    console.error('连接出错:', error);
                    eventSource.close();
                    const answerElement = document.getElementById('answer');
                    answerElement.textContent = '连接出错，请稍后重试。';
                };
            }
        });
    </script>
</body>

</html>

说明：

1、接口是阿里云百炼平台的，包括key。

2、python 需要安装 flask、openai、flask-cors、requests等模块。

3、仅供学习

posted @ 2025-02-19 14:31  知风阁  阅读(245)  评论(0)    收藏  举报