import os; os.environ['no_proxy'] = '*' # 避免代理网络产生意外污染 import gradio as gr from predict import predict from toolbox import format_io, find_free_port # 建议您复制一个config_private.py放自己的秘密,如API和代理网址,避免不小心传github被别人看到 try: from config_private import proxies, WEB_PORT except: from config import proxies, WEB_PORT # 如果WEB_PORT是-1,则随机选取WEB端口 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

""" # 问询记录,python 版本建议3.9+(越新越好) import logging os.makedirs('gpt_log', exist_ok=True) try:logging.basicConfig(filename='gpt_log/chat_secrets.log', level=logging.INFO, encoding='utf-8') except: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!') # 一些普通功能模块 from functional import get_functionals functional = get_functionals() # 对一些丧心病狂的实验性功能模块进行测试 from functional_crazy import get_crazy_functionals, on_file_uploaded, on_report_generated crazy_functional = get_crazy_functionals() # 处理markdown文本格式的转变 gr.Chatbot.postprocess = format_io # 做一些样式上的调整 try: set_theme = gr.themes.Default( primary_hue=gr.themes.utils.colors.orange, font=["ui-sans-serif", "system-ui", "sans-serif", gr.themes.utils.fonts.GoogleFont("Source Sans Pro")], font_mono=["ui-monospace", "Consolas", "monospace", gr.themes.utils.fonts.GoogleFont("IBM Plex Mono")]) except: set_theme = None; print('gradio版本较旧,不能自定义字体和颜色') with gr.Blocks(theme=set_theme, analytics_enabled=False) 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.Row(): 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) with gr.Row(): gr.Markdown("以下部分实验性功能需从input框读取路径.") with gr.Row(): 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) with gr.Row(): gr.Markdown("上传本地文件供上面的实验性功能调用.") with gr.Row(): file_upload = gr.Files(label='任何文件,但推荐上传压缩文件(zip, tar)', file_count="multiple") 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) file_upload.upload(on_file_uploaded, [file_upload, chatbot, txt], [chatbot, txt]) for k in crazy_functional: click_handle = crazy_functional[k]["Button"].click(crazy_functional[k]["Function"], [api, txt, top_p, temperature, chatbot, history, systemPromptTxt, gr.State(PORT)], [chatbot, history, statusDisplay] ) try: click_handle.then(on_report_generated, [file_upload, chatbot], [file_upload, chatbot]) except: pass # 延迟函数,做一些准备工作,最后尝试打开浏览器 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(server_name="0.0.0.0", share=True, server_port=PORT)