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"""Chat interface components."""
import streamlit as st
def render_chat_interface():
"""Render the main chat interface."""
if not st.session_state.document_processed:
st.info("<-- Please upload a document in the sidebar and click 'Process Document' to start chatting!")
return
# Display chat history
_display_chat_history()
# Handle new user input
_handle_user_input()
def _display_chat_history():
"""Display all messages in chat history."""
for message in st.session_state.chat_history:
with st.chat_message(message["role"]):
st.markdown(message["content"])
# Show sources if available
if message["role"] == "assistant" and "sources" in message:
with st.expander("View Sources"):
for i, source in enumerate(message["sources"]):
st.markdown(f"**Source {i+1}:** {source}")
def _handle_user_input():
"""Handle new user input and generate response."""
if prompt := st.chat_input("Ask a question about your document..."):
# Add user message
st.session_state.chat_history.append({
"role": "user",
"content": prompt
})
# Display user message
with st.chat_message("user"):
st.markdown(prompt)
# Generate and display response
_generate_response(prompt)
def _generate_response(prompt):
"""Generate AI response to user prompt."""
with st.chat_message("assistant"):
with st.spinner("Thinking..."):
try:
result = st.session_state.qa_chain({"question": prompt})
answer = result["answer"]
sources = [
doc.page_content
for doc in result.get("source_documents", [])
]
st.markdown(answer)
# Show sources
if sources:
with st.expander("View Sources"):
for i, source in enumerate(sources):
st.markdown(f"**Source {i+1}:** {source}")
# Add to chat history
st.session_state.chat_history.append({
"role": "assistant",
"content": answer,
"sources": sources
})
except Exception as e:
error_msg = f"Sorry, I encountered an error: {str(e)}"
st.error(error_msg)
st.session_state.chat_history.append({
"role": "assistant",
"content": error_msg
})
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