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import streamlit as st
from app import chat_with_ai
st.title("Chat with PDFs")
# Initialize session state for sources if it doesn't exist
if 'sources' not in st.session_state:
st.session_state.sources = None
# Create two columns for chat and sources
col1, col2 = st.columns([2, 1])
with col1:
st.header("Chat")
user_input = st.text_input("Ask a question about the uploaded content:")
if st.button("Send"):
if user_input:
print(f"Sending user input: {user_input}")
st.session_state.chat_progress = st.progress(0)
response, sources = chat_with_ai(user_input)
st.session_state.chat_progress.progress(1.0)
st.markdown("**You:** " + user_input)
st.markdown("**AI:** " + response)
# Store sources in session state for display in col2
st.session_state.sources = sources
st.session_state.chat_progress.empty()
# Clean up state
del st.session_state.chat_progress
else:
print("Empty user input")
st.warning("Please enter a question.")
with col2:
st.header("Source Chunks")
if st.session_state.sources:
for i, source in enumerate(st.session_state.sources, 1):
with st.expander(f"Source {i} - {source['doc_name']}"):
st.markdown(f"**Chunk Index:** {source['chunk_index']}")
st.text(source['text'])
else:
st.info("Ask a question to see source chunks here.") |