import os; os.environ['no_proxy'] = '*' import gradio as gr from predict import predict from toolbox import format_io, find_free_port try: from config_private import proxies, WEB_PORT # 放自己的秘密如API和代理网址 os.path.exists('config_private.py') except: from config import proxies, WEB_PORT PORT = find_free_port() if WEB_PORT <= 0 else WEB_PORT initial_prompt = "Serve me as a writing and programming assistant." title_html = """

ChatGPT 学术优化

""" import logging os.makedirs('gpt_log', exist_ok=True) logging.basicConfig(filename='gpt_log/chat_secrets.log', level=logging.INFO) #print('所有问询记录将自动保存在本地目录./gpt_log/chat_secrets.log,请注意自我隐私保护哦!') # 一些普通功能 from functional import get_functionals functional = get_functionals() # 对一些丧心病狂的实验性功能进行测试 from functional_crazy import get_crazy_functionals crazy_functional = get_crazy_functionals() gr.Chatbot.postprocess = format_io with gr.Blocks() as demo: gr.HTML(title_html) with gr.Row(): with gr.Column(scale=2): chatbot = gr.Chatbot() chatbot.style(height=1000) chatbot.style() history = gr.State([]) TRUE = gr.State(True) FALSE = gr.State(False) with gr.Column(scale=1): with gr.Row(): with gr.Column(scale=12): api = gr.Textbox(show_label=False, placeholder="Input OpenAI Key.").style(container=False) with gr.Column(scale=12): txt = gr.Textbox(show_label=False, placeholder="Input question here.").style(container=False) with gr.Column(scale=1): submitBtn = gr.Button("Ask", variant="primary") with gr.Row(): for k in functional: variant = functional[k]["Color"] if "Color" in functional[k] else "secondary" functional[k]["Button"] = gr.Button(k, variant=variant) #for k in crazy_functional: # variant = crazy_functional[k]["Color"] if "Color" in crazy_functional[k] else "secondary" # crazy_functional[k]["Button"] = gr.Button(k, variant=variant) from check_proxy import check_proxy statusDisplay = gr.Markdown(f"{check_proxy(proxies)}") systemPromptTxt = gr.Textbox(show_label=True, placeholder=f"System Prompt", label="System prompt", value=initial_prompt).style(container=True) #inputs, top_p, temperature, top_k, repetition_penalty with gr.Accordion("arguments", open=False): top_p = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.01,interactive=True, label="Top-p (nucleus sampling)",) temperature = gr.Slider(minimum=-0, maximum=5.0, value=1.0, step=0.01, interactive=True, label="Temperature",) txt.submit(predict, [api, txt, top_p, temperature, chatbot, history, systemPromptTxt], [chatbot, history, statusDisplay]) submitBtn.click(predict, [api, txt, top_p, temperature, chatbot, history, systemPromptTxt], [chatbot, history, statusDisplay], show_progress=True) for k in functional: functional[k]["Button"].click(predict, [api, txt, top_p, temperature, chatbot, history, systemPromptTxt, TRUE, gr.State(k)], [chatbot, history, statusDisplay], show_progress=True) #for k in crazy_functional: # crazy_functional[k]["Button"].click(crazy_functional[k]["Function"], # [txt, top_p, temperature, chatbot, history, systemPromptTxt, gr.State(PORT)], [chatbot, history, statusDisplay]) def auto_opentab_delay(): import threading, webbrowser, time print(f"URL http://localhost:{PORT}") def open(): time.sleep(2) webbrowser.open_new_tab(f'http://localhost:{PORT}') t = threading.Thread(target=open) t.daemon = True; t.start() auto_opentab_delay() demo.title = "ChatGPT 学术优化" demo.queue().launch(share=False)