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import streamlit as st |
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from rag_with_palm import RAGPaLMQuery |
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rag_palm_query_instance = RAGPaLMQuery() |
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st.title(f"**NutriMate\'s Assistant Bot** :robot_face:") |
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if "messages" not in st.session_state: |
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st.session_state.messages = [] |
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for message in st.session_state.messages: |
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with st.chat_message(message["role"]): |
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st.markdown(message["content"]) |
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if prompt := st.chat_input("Need info? Drop your question here!"): |
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st.chat_message("user").markdown(prompt) |
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st.session_state.messages.append({"role": "user", "content": prompt}) |
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response = rag_palm_query_instance.query_response(prompt) |
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with st.chat_message("assistant"): |
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st.markdown(response) |
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st.session_state.messages.append({"role": "assistant", "content": response}) |
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