aamirhameed commited on
Commit
f4bfd87
·
verified ·
1 Parent(s): d4ae976

Update app.py

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Files changed (1) hide show
  1. app.py +18 -28
app.py CHANGED
@@ -1,41 +1,31 @@
1
- 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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- st.title("🧠 Sirraya xBrain — Intelligent QA Assistant")
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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("Knowledge engine initialized 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" Failed to initialize system: {e}")
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  st.session_state.km = None
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- if st.session_state.km is None:
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- st.warning("Knowledge base not loaded or failed to initialize.")
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- st.stop()
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-
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- question = st.text_input("Ask a question about the knowledge base:", "")
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- if question:
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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.markdown("### Answer:")
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- st.write(answer)
 
 
 
 
 
 
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- if sources:
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- with st.expander("📚 Source documents"):
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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
3
 
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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()