import gradio as gr import json import asyncio import os from EdgeGPT import Chatbot, ConversationStyle #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) response = raw_data["item"]["messages"][1]["text"] context += [response] # list of (user, bot) responses. We will use this format later responses = [(u, b) for u, b in zip(context[::2], context[1::2])] return responses, context # query = 'Which is the largest country by area in the world?' # style="precise" # responses, context =asyncio.run(get_model_reply(query,style,context=[])) # # print(' ' + responses[-1][0]) # print(' ' + responses[-1][1]) with gr.Blocks() as dialog_app: with gr.Tab("Cookies"): cookies = gr.Textbox(lines=2, label="输入bing.com中的cookies") with gr.Tab("New Bing Chat"): gr.Markdown("# A Simple Web to use New Bing Without Magic") chatbot = gr.Chatbot() state = gr.State([]) markdown = gr.Markdown(label="Output") with gr.Row(): inputs = gr.Textbox( label="输入问题", placeholder="输入文本,然后按回车键" ) style = gr.Dropdown(label="回答倾向", choices=["创造", "平衡", "精确"], multiselect=False, value="balanced", type="value") inputs.submit(get_model_reply, [inputs, style, cookies, state], [chatbot, state]) send = gr.Button("Send") send.click(get_model_reply, [inputs, style, cookies, state], [chatbot, state]) # launches the app in a new local port dialog_app.launch() # 为网站设置密码防止滥用 # dialog_app.launch(auth=("admin", "pass1234"))