Langchain-Chatchat/webui.py

44 lines
1.7 KiB
Python
Raw Normal View History

# 运行方式:
# 1. 安装必要的包pip install streamlit-option-menu streamlit-chatbox>=1.1.6
# 2. 运行本机fastchat服务python server\llm_api.py 或者 运行对应的sh文件
# 3. 运行API服务器python server/api.py。如果使用api = ApiRequest(no_remote_api=True),该步可以跳过。
# 4. 运行WEB UIstreamlit run webui.py --server.port 7860
2023-07-27 23:22:07 +08:00
import streamlit as st
2023-08-01 14:47:38 +08:00
from webui_pages.utils import *
2023-07-28 06:58:34 +08:00
from streamlit_option_menu import option_menu
2023-08-01 14:47:38 +08:00
from webui_pages import *
2023-08-01 14:18:30 +08:00
api = ApiRequest(base_url="http://127.0.0.1:7861", no_remote_api=False)
2023-07-28 06:58:34 +08:00
if __name__ == "__main__":
# init local vector store info to database
init_vs_database()
st.set_page_config("langchain-chatglm WebUI")
2023-07-28 06:58:34 +08:00
if not chat_box.chat_inited:
st.toast(f"欢迎使用 [`Langchain-Chatglm`](https://github.com/chatchat-space/langchain-chatglm) ! \n\n当前使用模型`{LLM_MODEL}`, 您可以开始提问了.")
st.toast(" ")
2023-07-28 06:58:34 +08:00
pages = {"对话": {"icon": "chat",
"func": dialogue_page,
},
"知识库管理": {"icon": "hdd-stack",
2023-08-01 14:47:38 +08:00
"func": knowledge_base_page,
2023-07-28 06:58:34 +08:00
},
"模型配置": {"icon": "gear",
2023-08-01 14:47:38 +08:00
"func": model_config_page,
2023-07-28 06:58:34 +08:00
}
}
with st.sidebar:
selected_page = option_menu("langchain-chatglm",
options=list(pages.keys()),
icons=[i["icon"] for i in pages.values()],
menu_icon="chat-quote",
default_index=0)
2023-08-01 15:08:19 +08:00
pages[selected_page]["func"](api)