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deprecated.py
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deprecated.py
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"""
Author: Vincent-the-gamer
通过调用公开版网站的API接口,实现和gpt-3.5-turbo模型的上下文关联对话。
该模块实现了与模型的上下文关联对话,并且在请求失败时自动清空上下文。
该模块必须做成后端服务,否则上下文的持久化需要用到数据库等其它持久化工具辅助。
而当你使用了后端服务,只要服务不停止,上下文就可以保留。
"""
import time
import requests
# 使用轻量级框架flask实现后端服务
from flask import Flask
from flask import request as req
# 用于解决前端跨域问题
from flask_cors import CORS
# 生成sign
from getSign import get_sign
app = Flask(__name__)
# 解决前端跨域问题
CORS(app, resources=r'/*')
messages = []
"""
编写请求函数
"""
def send_message(content: str):
global messages
messages.append(
{"role": "user", "content": content}
)
url = "https://supremes.pro/api/generate"
headers = {
"Accept": "*/*",
"Accept-Encoding": "gzip, deflate, br",
"Accept-Language": "zh-CN,zh;q=0.9",
"Access-Control-Allow-Origin": "*",
"Connection": "keep-alive",
"Content-Type": "text/plain;charset=UTF-8",
"Origin": "https://supremes.pro",
"Referer": "https://supremes.pro/",
"sec-ch-ua": '"Google Chrome";v="111", "Not(A:Brand";v="8", "Chromium";v="111"',
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": '"Windows"',
"Sec-Fetch-Dest": "empty",
"Sec-Fetch-Mode": "cors",
"Sec-Fetch-Site": "same-origin",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36"
}
json = {
"messages": messages,
"pass": None,
"time": int(time.time()*1000), # 13位时间戳
"sign": get_sign( messages[len(messages) - 1]["content"] ) # 逆向出来的算法哈希值
}
try:
# 发起请求
response = requests.post(
url,
headers=headers,
json=json
)
"""
请求错误
"""
try:
return response.json()["error"]["message"]
except:
pass
"""
请求成功,则把最新的message推入数组
"""
# 这个接口返回的是纯文本
messages.append(
{"role": "assistant", "content": response.text}
)
return response.text
# 运行出错则返回错误信息
except Exception as err:
# 清空上下文
messages = []
return str(err)
'''
聊天请求接口
'''
@app.route("/", methods=["POST"])
def bai_piao_chatGPT():
content = req.json.get("content")
return send_message(content)
"""
重新生成答案
"""
@app.route("/regenerate", methods=["GET"])
def regenerate():
global messages
if len(messages) < 1:
return "消息为空"
else:
# 提取最后一次的用户问题
last_content = messages[len(messages) - 2]["content"]
messages = messages[0:-2] # 删除最后两条问答
# 重新发请求
return send_message(last_content)
"""
清空上下文
"""
@app.route("/clearContext", methods=["GET"])
def clear_context():
global messages
messages = []
return "已成功清空上下文,目前上下文条数: {}".format( len(messages) )
"""
查看现在有多少条上下文
"""
@app.route("/showContextCount", methods=["GET"])
def show_context_count():
global messages
return "当前上下文条数:" + str(len(messages))
if __name__== "__main__":
app.run(
host="0.0.0.0",
port=2333,
debug=False
)