import json import gradio as gr from curl_cffi import requests import re def request_to_v2(message, cookie, user_id, channel_id,context=[]): timeout = 5*60 #5分钟不回复,显示超时 context = [message] headers = { # ':Authority': 'claude.ai', # ':Method': 'POST', # ':Path': '/api/append_message', # ':Scheme': 'https', 'Content-Type': 'application/json', 'Origin': 'https://claude.ai', 'Referer': f'https://claude.ai/chat/{channel_id}', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36', 'Cookie': cookie, 'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8', # 'Accept-Encoding': 'gzip, deflate, br', 'Accept': 'text/event-stream, text/event-stream', 'Sec-Ch-Ua': '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"', 'Sec-Ch-Ua-Mobile': '?0', 'Sec-Ch-Ua-Platform': '"Windows"', 'Sec-Fetch-Dest': 'empty', 'Sec-Fetch-Mode': 'cors', 'Sec-Fetch-Site': 'same-origin', 'Connection': 'keep-alive', } post_msg_url = 'https://claude.ai/api/append_message' post_msg_data = { "completion":{ "incremental":True, "prompt": message, "timezone":"Asia/Shanghai", "model":"claude-2" }, "organization_uuid": user_id, "conversation_uuid": channel_id, "text": message, "attachments": [] } post_msg_data = json.dumps(post_msg_data) print(post_msg_data) try: response = requests.post(post_msg_url, headers=headers, data=post_msg_data, verify=False,timeout = timeout,impersonate="chrome110") decoded_data = response.content.decode("utf-8") decoded_data = re.sub('\n+', '\n', decoded_data).strip() data_strings = decoded_data.split('\n') completions = [] for data_string in data_strings: json_str = data_string[6:].strip() data = json.loads(json_str) if 'completion' in data: completions.append(data['completion']) bots = ''.join(completions) print(bots) context += [bots] responses = [(u, b) for u, b in zip(context[::2], context[1::2])] print("a"*100) return responses, context except Exception as e: print(">>>>>> 查询失败") print(e) response =">>>>>> 查询失败\n报错信息为:"+ str(e) context += [response] responses = [(u, b) for u, b in zip(context[::2], context[1::2])] return responses, context with gr.Blocks() as dialog_app: gr.HTML("""

Claude2-API-xiaolv-第1版-多轮对话

""") with gr.Tab("Claude2 API xiaolv"): gr.Markdown(""" ## 需要传入的参数有: 1.cookie:intercom-device-id-lupk8zyo=8888 2.user_id:对应 organization_uuid 3.channel_id:对应 conversation_uuid ## 特点: 1. 会根据传入的channel_id在同一个频道下进行对话,模型会记住上一次的对话; 2. 此时如果不需要模型记住历史记录的话,需要传```/resrt```命令, ```/resrt```:a. 虽然这样可以使模型忘记之前的记录,但同时模型很多前置的信息也会忘记,比如问他今天几号; b. 虽然模型把之前的记录忘记了,但历史的对话依旧存在,对话过长时,模型回复同样很慢。 """) gr.HTML( """

3.如果只想回复一次的话,可以参考以下这个地址:Claude2-API-xiaolv-第2版-单轮对话

""" """

4.如果只想回复一次且可以支持文件知识库回答的话,可以参考以下这个地址:Claude2-API-xiaolv-第3版-单轮对话-支持文件知识库

""" """

如果喜欢请给个 💖

""" ) with gr.Row(): with gr.Column(scale=0.4): cookies = gr.Textbox(lines=2, label="输入cookies") user_id = gr.Textbox(lines=2, label="输入user_id/organization_uuid") channel_id = gr.Textbox(lines=2, label="输入channel_id/conversation_uuid") # chatbot = gr.Chatbot() with gr.Column(scale=0.6): chatbot = gr.Chatbot([]) state = gr.State([]) with gr.Row(): inputs = gr.Textbox( label="输入问题", placeholder="请输入你的文本,确保已经正确填入cookies、user_id、channel_id" ) inputs.submit(request_to_v2, [inputs, cookies, user_id,channel_id,state], [chatbot, state]) send = gr.Button("发送请求.....") send.click(request_to_v2, [inputs, cookies, user_id,channel_id,state], [chatbot, state], api_name="xiaolvgpt", show_progress=True) gr.Markdown(""" 清除历史记录是,请输入:```/resrt``` >>> 2023-08-21:修复“We are unable to serve your request ”问题,替换成curl_cffi 模拟浏览器模式。 ** 参考github资料 ** 1. Claude2-PyAPI源码魔改地址 """) # 为网站设置密码防止滥用 # dialog_app.launch(auth=("admin", "2240560729"),show_error=True,show_api=True,share=True) # dialog_app.launch(auth=("admin", "2240560729"),show_error=True) dialog_app.launch(show_error=True) # dialog_app.launch(show_error=True,show_api=True,share=True)