Langchain-Chatchat/webui.py

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# 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
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import streamlit as st
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from webui_pages.utils import *
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from streamlit_option_menu import option_menu
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from webui_pages import *
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api = ApiRequest(base_url="http://127.0.0.1:7861", no_remote_api=False)
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if __name__ == "__main__":
st.set_page_config("langchain-chatglm WebUI")
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if not chat_box.chat_inited:
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st.toast(
f"欢迎使用 [`Langchain-Chatglm`](https://github.com/chatchat-space/langchain-chatglm) ! \n\n"
f"当前使用模型`{LLM_MODEL}`, 您可以开始提问了."
)
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if "chat_list" not in st.session_state:
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st.session_state["chat_list"] = {"对话1": {"need_rename": True}}
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if "cur_chat_name" not in st.session_state:
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st.session_state["cur_chat_name"] = list(st.session_state["chat_list"].keys())[0]
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if "need_chat_name" not in st.session_state:
st.session_state["need_chat_name"] = True
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pages = {i: {
"icon": "chat",
"func": dialogue_page,
} for i in st.session_state.chat_list.keys()}
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pages2 = {
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"新建对话": {
"icon": "plus-circle",
"func": dialogue_page,
},
"---": {
"icon": None,
"func": None
},
"知识库管理": {
"icon": "hdd-stack",
"func": knowledge_base_page,
},
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}
pages.update(pages2)
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def on_change(key):
selection = st.session_state[key]
st.write(f"Selection changed to {selection}")
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with st.sidebar:
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selected_page = option_menu(
"langchain-chatglm",
options=list(pages.keys()),
icons=[i["icon"] for i in pages.values()],
menu_icon="chat-quote",
default_index=list(pages.keys()).index(st.session_state["cur_chat_name"]),
)
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if selected_page == "新建对话":
new_chat_name = f"对话{len(st.session_state.chat_list) + 1}"
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st.session_state.chat_list[new_chat_name] = {"need_rename": True}
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st.session_state["cur_chat_name"] = new_chat_name
st.experimental_rerun()
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elif selected_page == "知识库管理":
pages[selected_page]["func"](api)
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else:
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st.session_state["cur_chat_name"] = selected_page
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pages[selected_page]["func"](api)