个人微信公众号接入ChatGPT的教程分享

pip install flask

from flask import Flask, request
app = Flask(__name__)
@app.route('/wechat', methods=['GET', 'POST'])
def wechat():
    # 你的代码将在这里实现
    pass
if __name__ == '__main__':
    app.run(host='0.0.0.0', port=80)

import hashlib
TOKEN = 'your_token'  # 与微信公众号后台设置的一致
def verify_wechat(request):
    signature = request.args.get('signature', '')
    timestamp = request.args.get('timestamp', '')
    nonce = request.args.get('nonce', '')
    echostr = request.args.get('echostr', '')
    # 按照微信要求对参数进行字典排序
    data = [TOKEN, timestamp, nonce]
    data.sort()
    # 对排序后的数据进行拼接，然后进行SHA1哈希
    data_str = ''.join(data)
    hashcode = hashlib.sha1(data_str.encode('utf-8')).hexdigest()
    # 对比签名是否一致
    if hashcode == signature:
        return echostr
    else:
        return ''
@app.route('/wechat', methods=['GET', 'POST'])
def wechat():
    if request.method == 'GET':
        return verify_wechat(request)
    else:
        # 处理POST请求（与ChatGPT交互）
        pass
```

pip install openai

import openai
from flask import jsonify
OPENAI_API_KEY = 'your_api_key'  # 你的OpenAI API密钥
openai.api_key = OPENAI_API_KEY
def chat_with_gpt(prompt):
    response = openai.Completion.create(
        engine="text-davinci-002",
        prompt=prompt,
        max_tokens=150,
        n=1,
        stop=None,
        temperature=0.5,
    )
    message = response.choices[0].text.strip()
    return message
@app.route('/wechat', methods=['GET', 'POST'])
def wechat():
    if request.method == 'GET':
        return verify_wechat(request)
    else:
        # 解析微信发来的XML消息，提取用户发送的文本
        user_message = parse_user_message(request.data)
        # 与ChatGPT进行交互
        gpt_response = chat_with_gpt(user_message)
        # 构建回复给微信公众号的XML消息
        response_xml = build_response_xml(user_message, gpt_response)
        return response_xml
def parse_user_message(xml_data):
    # 解析XML，提取用户发送的文本
    # 这里你可以使用lxml、xml.etree.ElementTree等库
    pass
def build_response_xml(user_message, gpt_response):
    # 根据微信公众号要求，构建回复的XML消息
    # 这里你可以使用lxml、xml.etree.ElementTree等库
    pass