import streamlit as st
import responses


# Title
st.title("My Conversational Agent")


# 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("What's in your mind?"):

    # 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})

    # get response
    response = responses.get_response(prompt)
    # response = get_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})