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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, get_conf | |
# 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 | |
proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION = \ | |
get_conf('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 | |
if not AUTHENTICATION: AUTHENTICATION = None | |
initial_prompt = "Serve me as a writing and programming assistant." | |
title_html = """<h1 align="center">ChatGPT 学术优化</h1>""" | |
# 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=1150) | |
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 {check_proxy(proxies)}") | |
with gr.Accordion("基础功能区", open=True): | |
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.Accordion("函数插件区", open=True): | |
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(): | |
with gr.Accordion("展开“文件上传区”。上传本地文件供“红颜色”的函数插件调用。", open=False): | |
file_upload = gr.Files(label='任何文件, 但推荐上传压缩文件(zip, tar)', file_count="multiple") | |
with gr.Accordion("展开SysPrompt & GPT参数 & 交互界面布局", open=False): | |
system_prompt = gr.Textbox(show_label=True, placeholder=f"System Prompt", label="System prompt", value=initial_prompt) | |
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",) | |
checkboxes = gr.CheckboxGroup(["基础功能区", "函数插件区", "文件上传区"], value=["USA", "Japan", "Pakistan"], | |
label="显示功能区") | |
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"如果浏览器没有自动打开,请复制并转到以下URL: http://localhost:{PORT}") | |
def open(): | |
time.sleep(2) | |
webbrowser.open_new_tab(f'http://localhost:{PORT}') | |
threading.Thread(target=open, name="open-browser", daemon=True).start() | |
auto_opentab_delay() | |
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) | |