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Update app.py
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app.py
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import os
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import streamlit as st
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from knowledge_engine import KnowledgeManager
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st.set_page_config(
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page_title="Sirraya xBrain - LangChain QA Assistant",
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layout="centered",
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page_icon="🧠",
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initial_sidebar_state="expanded",
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)
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if "km" not in st.session_state:
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with st.spinner("Initializing knowledge base and LLM..."):
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try:
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st.session_state.km = KnowledgeManager()
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st.success("
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st.info(st.session_state.km.get_knowledge_summary())
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except Exception as e:
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st.error(f"
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st.session_state.km = None
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st.
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st.stop()
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question = st.text_input("Ask a question about the knowledge base:", "")
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with st.spinner("Generating answer..."):
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answer, sources = st.session_state.km.query(question)
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st.
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for i, src in enumerate(sources, 1):
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st.write(f"Source {i}:")
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st.write(src)
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import streamlit as st
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from knowledge_engine import KnowledgeManager
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st.set_page_config(page_title="LangChain QA Assistant", layout="centered")
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def initialize_knowledge_manager():
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if "km" not in st.session_state:
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try:
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st.session_state.km = KnowledgeManager()
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st.success("Knowledge base loaded successfully!")
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st.info(st.session_state.km.get_knowledge_summary())
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except Exception as e:
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st.error(f"Error loading knowledge base: {e}")
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st.session_state.km = None
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def main():
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st.title("LangChain QA Assistant")
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initialize_knowledge_manager()
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if st.session_state.km:
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query = st.text_input("Ask something about your knowledge base:")
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if query:
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with st.spinner("Getting answer..."):
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answer = st.session_state.km.ask(query)
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st.markdown(f"**Answer:** {answer}")
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else:
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st.info("Please upload your `.txt` files in the root of the repo.")
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if __name__ == "__main__":
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main()
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