import os; os.environ['no_proxy'] = '*' # 避免代理网络产生意外污染
from pathlib import Path
def main():
import gradio as gr
if gr.__version__ not in ['3.28.3','3.32.2']: assert False, "需要特殊依赖,请务必用 pip install -r requirements.txt 指令安装依赖,详情信息见requirements.txt"
from request_llm.bridge_all import predict
from toolbox import format_io, find_free_port, on_file_uploaded, on_report_generated, get_conf, ArgsGeneralWrapper, DummyWith
# 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, CHATBOT_HEIGHT, LAYOUT, API_KEY, AVAIL_LLM_MODELS = \
get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION', 'CHATBOT_HEIGHT', 'LAYOUT', 'API_KEY', 'AVAIL_LLM_MODELS')
# 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
from check_proxy import get_current_version
initial_prompt = "Serve me as a writing and programming assistant."
title_html = f"
ChatGPT 学术优化 网页测试版 {get_current_version()}
"
description = """代码开源和更新[地址🚀](https://github.com/binary-husky/chatgpt_academic),感谢热情的[开发者们❤️](https://github.com/binary-husky/chatgpt_academic/graphs/contributors)"""
# 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 core_functional import get_core_functions
functional = get_core_functions()
# 高级函数插件
from crazy_functional import get_crazy_functions
crazy_fns = get_crazy_functions()
# 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, advanced_css
set_theme = adjust_theme()
# 代理与自动更新
from check_proxy import check_proxy, auto_update, warm_up_modules
proxy_info = check_proxy(proxies)
gr_L1 = lambda: gr.Row().style()
gr_L2 = lambda scale: gr.Column(scale=scale)
if LAYOUT == "TOP-DOWN":
gr_L1 = lambda: DummyWith()
gr_L2 = lambda scale: gr.Row()
CHATBOT_HEIGHT /= 2
cancel_handles = []
# Read your Baidu statistics code from the file
baidu_stats_code = Path('./sites/baidu_stats.html').read_text()
with gr.Blocks(title="ChatGPT 学术优化", theme=set_theme, analytics_enabled=False, css=advanced_css) as demo:
# Insert your Baidu statistics code here
gradio_original_template_fn = gr.routes.templates.TemplateResponse
def gradio_new_template_fn(*args, **kwargs):
res = gradio_original_template_fn(*args, **kwargs)
res.body = res.body.replace(b'