# 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 UI:streamlit run webui.py --server.port 7860 import streamlit as st from webui_pages.utils import * from streamlit_option_menu import option_menu from webui_pages import * api = ApiRequest(base_url="http://127.0.0.1:7861", no_remote_api=False) if __name__ == "__main__": st.set_page_config("langchain-chatglm WebUI", layout="wide") 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(" ") # pages = {"对话1": {"icon": "chat", # "func": dialogue_page, # }, # "对话2": {"icon": "chat", # "func": dialogue_page, # }, # "对话3": {"icon": "chat", # "func": dialogue_page, # }, # "新建对话": {"icon": "plus-circle", # "func": dialogue_page, # }, # "---": {"icon": None, # "func": None}, # "知识库管理": {"icon": "database-fill-gear", # "func": knowledge_base_page, # }, # "模型配置": {"icon": "gear", # "func": model_config_page, # } # } pages = {"对话": {"icon": "chat", "func": dialogue_page, }, "知识库管理": {"icon": "database-fill-gear", "func": knowledge_base_page, }, "模型配置": {"icon": "gear", "func": model_config_page, } } 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) pages[selected_page]["func"](api)