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| 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 = """<h1 align="center">ChatGPT 学术优化</h1>""" | |
| description = """<div align=center> | |
| 本项目参考自[chatgpt_academic](https://github.com/binary-husky/chatgpt_academic) | |
| </div> | |
| """ | |
| 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",) | |
| gr.Markdown(description) | |
| 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) | |