import streamlit as st
from app import llm_chain
import time 
from langchain_community.callbacks.streamlit import (
    StreamlitCallbackHandler,
)
st.set_page_config(
    layout="wide",
    page_title="Khatir Bot",
    page_icon="🤖",
)



def generate_response(prompt):
    response = llm_chain.invoke(prompt)['text']
    for word in response.split():
        yield word + " "
        time.sleep(0.05)

st.title("Khatir Bot")

# 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"])

# Accept user input
if prompt := st.chat_input("What is up?"):
    # Add user message to chat history
    st.session_state.messages.append({"role": "user", "content": prompt})
    # Display user message in chat message container
    with st.chat_message("user"):
        st.markdown(prompt)

    # Display assistant response in chat message container
    with st.chat_message("assistant"):
        st_callback = StreamlitCallbackHandler(st.empty())
        response = st.write_stream(llm_chain.invoke(
            {"question":prompt}, {"callbacks": [st_callback]}
        ))

    # Add assistant response to chat history
    st.session_state.messages.append({"role": "assistant", "content": response})