app.py

import gradio as gr
import json
import asyncio
import os
from EdgeGPT import Chatbot, ConversationStyle
import re

"""
参考资料：
https://www.bilibili.com/video/BV1KV4y197bX/?spm_id_from=333.1007.tianma.2-2-5.click&vd_source=9dc7baa799a4531df364244d2e87ee01
https://blog.csdn.net/xmh_free/article/details/127210992
"""

# read cookie from local file
# with open('./cookies.json', 'r') as f:
#     cookies = json.load(f)

async def get_model_reply(prompt,style,cookies,context=[]):
    # combines the new question with a previous context

    context = [prompt]
    cookies = json.loads(cookies)
    # given the most recent context (4096 characters)
    # continue the text up to 2048 tokens ~ 8192 charaters
    bot = Chatbot(cookies=cookies)
    raw_data = await bot.ask(prompt, conversation_style=style)
    await bot.close()
    #print(raw_data)
    try:
        try:
            response = raw_data["item"]["messages"][1]["text"]
        except:
            response = raw_data["item"]["messages"][1]["adaptiveCards"][0]["body"][0]["text"]
        response = re.sub(r'\^', '', response)
        response = response.rstrip()
        context += [response]
        responses = [(u, b) for u, b in zip(context[::2], context[1::2])]
        return responses, context

    except:
        try:
            if raw_data["item"]["throttling"]["numUserMessagesInConversation"] > raw_data["item"]["throttling"][
                "maxNumUserMessagesInConversation"]:
                response = ">>>请重新开启新的对话。"
                print(response)
                context += ["0"]
                responses = [(u, b) for u, b in zip(context[::2], context[1::2])]
                return responses, context

        except:
            if raw_data["item"]["result"]["value"] == "Throttled":
                response = "> **错误： 我们很抱歉，但你已经达到了你在24小时内可以向Bing发送消息的最大数量。请稍后再查看！**"
                print(response)
                context += ["1"]
                responses = [(u, b) for u, b in zip(context[::2], context[1::2])]
                return responses, context


with gr.Blocks() as dialog_app:

    with gr.Tab("Cookies"):
        cookies = gr.Textbox(lines=2, label="输入bing.com中的cookies（JSON格式）")
    with gr.Tab("New Bing Chat GPT4"):
        gr.Markdown("# 连接 new-bing 接口，用的是GPT4的接口")
        chatbot = gr.Chatbot()
        state = gr.State([])
        markdown = gr.Markdown(label="Output")

        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bing.com中的cookies"
            )
            style = gr.Dropdown(label="回答倾向模式选择", choices=["creative", "balanced", "precise"], multiselect=False,
                                value="precise", type="value")

        inputs.submit(get_model_reply, [inputs, style, cookies,state ], [chatbot, state])
        send = gr.Button("发送请求.....")
        send.click(get_model_reply, [inputs, style, cookies, state], [chatbot, state],api_name="xiaolvgpt")

# launches the app in a new local port
dialog_app.launch(show_error=True)
# 为网站设置密码防止滥用
# dialog_app.launch(auth=("admin", "pass1234"))