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, on_file_uploaded, on_report_generated # 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, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION except: from config import proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION # 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 AUTHENTICATION = None if AUTHENTICATION == [] else AUTHENTICATION 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 crazy_functional = get_crazy_functionals() # 处理markdown文本格式的转变 gr.Chatbot.postprocess = format_io # 做一些外观色彩上的调整 from theme import adjust_theme set_theme = adjust_theme() cancel_handles = [] 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=600) chatbot.style() history = gr.State([]) with gr.Column(scale=1): with gr.Row(): txt = gr.Textbox(show_label=False, placeholder="Input question here.").style(container=False) with gr.Row(): submitBtn = gr.Button("提交", variant="primary") with gr.Row(): resetBtn = gr.Button("重置", variant="secondary"); resetBtn.style(size="sm") stopBtn = gr.Button("停止", variant="secondary"); stopBtn.style(size="sm") with gr.Row(): from check_proxy import check_proxy statusDisplay = gr.Markdown(f"Tip: 按Enter提交, 按Shift+Enter换行。当前模型: {LLM_MODEL} \n") 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("注意:以下“红颜色”标识的函数插件需从input区读取路径作为参数.") 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,供上面的函数插件调用.") 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") system_prompt = gr.Textbox(show_label=True, placeholder=f"System Prompt", label="System prompt", value=initial_prompt).style(container=True) 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=2.0, value=1.0, step=0.01, interactive=True, label="Temperature",) predict_args = dict(fn=predict, inputs=[txt, top_p, temperature, chatbot, history, system_prompt], outputs=[chatbot, history, statusDisplay], show_progress=True) empty_txt_args = dict(fn=lambda: "", inputs=[], outputs=[txt]) # 用于在提交后清空输入栏 cancel_handles.append(txt.submit(**predict_args)) # txt.submit(**empty_txt_args) 在提交后清空输入栏 cancel_handles.append(submitBtn.click(**predict_args)) # submitBtn.click(**empty_txt_args) 在提交后清空输入栏 resetBtn.click(lambda: ([], [], "已重置"), None, [chatbot, history, statusDisplay]) for k in functional: click_handle = functional[k]["Button"].click(predict, [txt, top_p, temperature, chatbot, history, system_prompt, gr.State(True), gr.State(k)], [chatbot, history, statusDisplay], show_progress=True) cancel_handles.append(click_handle) 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"], [txt, top_p, temperature, chatbot, history, system_prompt, gr.State(PORT)], [chatbot, history, statusDisplay] ) try: click_handle.then(on_report_generated, [file_upload, chatbot], [file_upload, chatbot]) except: pass cancel_handles.append(click_handle) stopBtn.click(fn=None, inputs=None, outputs=None, cancels=cancel_handles) # gradio的inbrowser触发不太稳定,回滚代码到原始的浏览器打开函数 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.launch() #demo.title = "ChatGPT 学术优化" #demo.queue(concurrency_count=CONCURRENT_COUNT).launch(server_name="0.0.0.0", share=True, server_port=PORT, auth=AUTHENTICATION)