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Sleeping
import streamlit as st | |
from rag_with_palm import RAGPaLMQuery | |
# Instantiate the class | |
rag_palm_query_instance = RAGPaLMQuery() | |
st.title(f"**NutriMate\'s Assistant Bot** :robot_face:") # Add emojis and colors to the title | |
# Initialize chat history | |
if "messages" not in st.session_state: | |
st.session_state.messages = [] | |
# Display chat messages from history on app rerun | |
for message in st.session_state.messages: | |
with st.chat_message(message["role"]): | |
st.markdown(message["content"]) | |
# React to user input | |
if prompt := st.chat_input("Need info? Drop your question here!"): | |
# Display user message in chat message container | |
st.chat_message("user").markdown(prompt) | |
# Add user message to chat history | |
st.session_state.messages.append({"role": "user", "content": prompt}) | |
response = rag_palm_query_instance.query_response(prompt) | |
# Display assistant response in chat message container | |
with st.chat_message("assistant"): | |
st.markdown(response) | |
# Add assistant response to chat history | |
st.session_state.messages.append({"role": "assistant", "content": response}) | |
# End of code end |