42 lines
1.7 KiB
Python
42 lines
1.7 KiB
Python
# 运行方式：
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# 1. 安装必要的包：pip install streamlit-option-menu streamlit-chatbox>=1.1.6
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# 2. 运行本机fastchat服务：python server\llm_api.py 或者 运行对应的sh文件
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# 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。
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# 4. 运行WEB UI：streamlit 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__":
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st.set_page_config("langchain-chatglm WebUI")
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if not chat_box.chat_inited:
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st.toast(
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f"欢迎使用 [`Langchain-Chatglm`](https://github.com/chatchat-space/langchain-chatglm) ! \n\n"
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f"当前使用模型`{LLM_MODEL}`, 您可以开始提问了."
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)
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st.toast(" ")
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pages = {"对话": {"icon": "chat",
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"func": dialogue_page,
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},
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"知识库管理": {"icon": "hdd-stack",
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"func": knowledge_base_page,
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},
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# "模型配置": {"icon": "gear",
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# "func": model_config_page,
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# }
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}
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with st.sidebar:
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selected_page = option_menu("langchain-chatglm",
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options=list(pages.keys()),
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icons=[i["icon"] for i in pages.values()],
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menu_icon="chat-quote",
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default_index=0)
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pages[selected_page]["func"](api)
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