84 lines
4.2 KiB
Python
84 lines
4.2 KiB
Python
import os; os.environ['no_proxy'] = '*' # 避免代理网络产生意外污染
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import gradio as gr
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from predict import predict
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from toolbox import format_io, find_free_port
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# 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
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try: from config_private import proxies, WEB_PORT
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except: from config import proxies, WEB_PORT
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# 如果WEB_PORT是-1，则随机选取WEB端口
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PORT = find_free_port() if WEB_PORT <= 0 else WEB_PORT
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initial_prompt = "Serve me as a writing and programming assistant."
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title_html = """<h1 align="center">ChatGPT 学术优化</h1>"""
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import logging
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os.makedirs('gpt_log', exist_ok=True)
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logging.basicConfig(filename='gpt_log/chat_secrets.log', level=logging.INFO, encoding='utf-8') # python 版本建议3.9+（越新越好）
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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！')
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# 一些普通功能模块
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from functional import get_functionals
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functional = get_functionals()
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# 对一些丧心病狂的实验性功能模块进行测试
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from functional_crazy import get_crazy_functionals
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crazy_functional = get_crazy_functionals()
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# 处理markdown文本格式的转变
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gr.Chatbot.postprocess = format_io
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with gr.Blocks() as demo: # 借助gradio框架，实现webUI
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gr.HTML(title_html)
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with gr.Row():
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with gr.Column(scale=2):
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chatbot = gr.Chatbot()
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chatbot.style(height=1000)
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chatbot.style()
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history = gr.State([])
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TRUE = gr.State(True)
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FALSE = gr.State(False)
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with gr.Column(scale=1):
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with gr.Row():
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with gr.Column(scale=12):
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txt = gr.Textbox(show_label=False, placeholder="Input question here.").style(container=False)
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with gr.Column(scale=1):
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submitBtn = gr.Button("Ask", variant="primary")
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with gr.Row():
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for k in functional:
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variant = functional[k]["Color"] if "Color" in functional[k] else "secondary"
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functional[k]["Button"] = gr.Button(k, variant=variant)
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for k in crazy_functional:
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variant = crazy_functional[k]["Color"] if "Color" in crazy_functional[k] else "secondary"
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crazy_functional[k]["Button"] = gr.Button(k, variant=variant)
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from check_proxy import check_proxy
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statusDisplay = gr.Markdown(f"{check_proxy(proxies)}")
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systemPromptTxt = gr.Textbox(show_label=True, placeholder=f"System Prompt", label="System prompt", value=initial_prompt).style(container=True)
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#inputs, top_p, temperature, top_k, repetition_penalty
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with gr.Accordion("arguments", open=False):
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top_p = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.01,interactive=True, label="Top-p (nucleus sampling)",)
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temperature = gr.Slider(minimum=-0, maximum=5.0, value=1.0, step=0.01, interactive=True, label="Temperature",)
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txt.submit(predict, [txt, top_p, temperature, chatbot, history, systemPromptTxt], [chatbot, history, statusDisplay])
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submitBtn.click(predict, [txt, top_p, temperature, chatbot, history, systemPromptTxt], [chatbot, history, statusDisplay], show_progress=True)
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for k in functional:
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functional[k]["Button"].click(predict,
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[txt, top_p, temperature, chatbot, history, systemPromptTxt, TRUE, gr.State(k)], [chatbot, history, statusDisplay], show_progress=True)
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for k in crazy_functional:
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crazy_functional[k]["Button"].click(crazy_functional[k]["Function"],
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[txt, top_p, temperature, chatbot, history, systemPromptTxt, gr.State(PORT)], [chatbot, history, statusDisplay])
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# 延迟函数，做一些准备工作，最后尝试打开浏览器
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def auto_opentab_delay():
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import threading, webbrowser, time
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print(f"URL http://localhost:{PORT}")
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def open(): time.sleep(2)
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webbrowser.open_new_tab(f'http://localhost:{PORT}')
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t = threading.Thread(target=open)
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t.daemon = True; t.start()
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auto_opentab_delay()
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demo.title = "ChatGPT 学术优化"
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demo.queue().launch(server_name="0.0.0.0", share=True, server_port=PORT)
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