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import os; os.environ['no_proxy'] = '*'
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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, on_file_uploaded, on_report_generated
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try: from config_private import proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION
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except: from config import proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION
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PORT = find_free_port() if WEB_PORT <= 0 else WEB_PORT
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AUTHENTICATION = None if AUTHENTICATION == [] else AUTHENTICATION
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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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try:logging.basicConfig(filename='gpt_log/chat_secrets.log', level=logging.INFO, encoding='utf-8')
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except:logging.basicConfig(filename='gpt_log/chat_secrets.log', level=logging.INFO)
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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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from functional import get_functionals
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functional = get_functionals()
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from functional_crazy import get_crazy_functionals
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crazy_functional = get_crazy_functionals()
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gr.Chatbot.postprocess = format_io
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from theme import adjust_theme
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set_theme = adjust_theme()
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cancel_handles = []
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with gr.Blocks(theme=set_theme, analytics_enabled=False) as demo:
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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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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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with gr.Row():
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resetBtn = gr.Button("重置", variant="secondary")
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stopBtn = gr.Button("停止", variant="secondary")
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submitBtn = gr.Button("提交", variant="primary")
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with gr.Row():
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from check_proxy import check_proxy
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statusDisplay = gr.Markdown(f"Tip: 按Enter提交, 按Shift+Enter换行。当前模型: {LLM_MODEL} \n {check_proxy(proxies)}")
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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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with gr.Row():
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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.")
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with gr.Row():
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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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with gr.Row():
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gr.Markdown("上传本地文件,供上面的函数插件调用.")
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with gr.Row():
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file_upload = gr.Files(label='任何文件, 但推荐上传压缩文件(zip, tar)', file_count="multiple")
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system_prompt = gr.Textbox(show_label=True, placeholder=f"System Prompt", label="System prompt", value=initial_prompt).style(container=True)
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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=2.0, value=1.0, step=0.01, interactive=True, label="Temperature",)
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predict_args = dict(fn=predict, inputs=[txt, top_p, temperature, chatbot, history, system_prompt], outputs=[chatbot, history, statusDisplay], show_progress=True)
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empty_txt_args = dict(fn=lambda: "", inputs=[], outputs=[txt])
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cancel_handles.append(txt.submit(**predict_args))
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cancel_handles.append(submitBtn.click(**predict_args))
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resetBtn.click(lambda: ([], [], "已重置"), None, [chatbot, history, statusDisplay])
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for k in functional:
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click_handle = functional[k]["Button"].click(predict,
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[txt, top_p, temperature, chatbot, history, system_prompt, gr.State(True), gr.State(k)], [chatbot, history, statusDisplay], show_progress=True)
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cancel_handles.append(click_handle)
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file_upload.upload(on_file_uploaded, [file_upload, chatbot, txt], [chatbot, txt])
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for k in crazy_functional:
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click_handle = crazy_functional[k]["Button"].click(crazy_functional[k]["Function"],
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[txt, top_p, temperature, chatbot, history, system_prompt, gr.State(PORT)], [chatbot, history, statusDisplay]
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)
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try: click_handle.then(on_report_generated, [file_upload, chatbot], [file_upload, chatbot])
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except: pass
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cancel_handles.append(click_handle)
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stopBtn.click(fn=None, inputs=None, outputs=None, cancels=cancel_handles)
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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():
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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(concurrency_count=CONCURRENT_COUNT).launch(server_name="0.0.0.0", share=True, server_port=PORT, auth=AUTHENTICATION)
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