|
import os; os.environ['no_proxy'] = '*'
|
|
import gradio as gr
|
|
from predict import predict
|
|
from toolbox import format_io, find_free_port, on_file_uploaded, on_report_generated
|
|
|
|
|
|
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
|
|
|
|
|
|
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 = """<h1 align="center">ChatGPT 学术优化</h1>"""
|
|
|
|
|
|
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!')
|
|
|
|
|
|
from functional import get_functionals
|
|
functional = get_functionals()
|
|
|
|
|
|
from functional_crazy import get_crazy_functionals
|
|
crazy_functional = get_crazy_functionals()
|
|
|
|
|
|
gr.Chatbot.postprocess = format_io
|
|
|
|
|
|
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.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])
|
|
|
|
cancel_handles.append(txt.submit(**predict_args))
|
|
|
|
cancel_handles.append(submitBtn.click(**predict_args))
|
|
|
|
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)
|
|
|
|
|
|
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(concurrency_count=CONCURRENT_COUNT).launch(server_name="0.0.0.0", share=True, server_port=PORT, auth=AUTHENTICATION)
|
|
|