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Update components/chat.py
Browse files- components/chat.py +21 -9
components/chat.py
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@@ -1,6 +1,7 @@
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# components/chat.py
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import streamlit as st
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from langchain_core.messages import HumanMessage, AIMessage
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def display_chat_interface():
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"""Display chat interface component"""
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@@ -8,30 +9,41 @@ def display_chat_interface():
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# Initialize chat history if not exists
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if 'chat_history' not in st.session_state:
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st.session_state.chat_history = [
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# Display chat history
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for message in st.session_state.chat_history:
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if isinstance(message, HumanMessage):
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st.markdown(f"🧑💼 **You**: {message.content}")
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st.markdown(f"🤖 **Assistant**: {message.content}")
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# Chat input
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if prompt := st.chat_input("Ask about the RFPs..."):
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try:
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with st.spinner("Analyzing documents..."):
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#
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result = st.session_state.qa_system({
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"input": prompt,
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})
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if result and 'answer' in result:
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# Add
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st.session_state.chat_history.append(
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#
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st.rerun()
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else:
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st.error("No valid response received from the QA system")
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# components/chat.py
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import streamlit as st
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from langchain_core.messages import HumanMessage, AIMessage, SystemMessage
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from utils.database import format_chat_history # Import the formatting function
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def display_chat_interface():
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"""Display chat interface component"""
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# Initialize chat history if not exists
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if 'chat_history' not in st.session_state:
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st.session_state.chat_history = [
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SystemMessage(content="Chat started. You can ask questions about the RFP documents.")
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]
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# Display chat history
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for message in st.session_state.chat_history:
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if isinstance(message, HumanMessage):
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st.markdown(f"🧑💼 **You**: {message.content}")
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elif isinstance(message, AIMessage):
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st.markdown(f"🤖 **Assistant**: {message.content}")
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# Don't display system messages in the UI
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# Chat input
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if prompt := st.chat_input("Ask about the RFPs..."):
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try:
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with st.spinner("Analyzing documents..."):
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# Add the new message to chat history
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current_msg = HumanMessage(content=prompt)
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st.session_state.chat_history.append(current_msg)
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# Format the chat history properly
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formatted_history = format_chat_history(st.session_state.chat_history[:-1])
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# Make the query with properly formatted input
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result = st.session_state.qa_system({
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"input": prompt,
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"chat_history": formatted_history
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})
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if result and 'answer' in result:
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# Add AI response to chat history
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ai_msg = AIMessage(content=result['answer'])
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st.session_state.chat_history.append(ai_msg)
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# Rerun to update the display
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st.rerun()
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else:
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st.error("No valid response received from the QA system")
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