app.py

import streamlit as st
import model

# Page name, favicon and layout
st.set_page_config(page_title="Llamarizer", page_icon=":llama:", layout="centered")

# Page title and description
st.title("🦙 Llamarizer")
st.markdown(
    "Summarize long passages of text using the Llama2 AI model, powered by Clarifai. Brought to you by <a href='https://github.com/ravi-aratchige'>Ravindu Aratchige</a>.",
    unsafe_allow_html=True,
)

# 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("Enter text to summarize"):
    # Display user message in chat message container
    with st.chat_message("user"):
        st.markdown(prompt)
    # Add user message to chat history
    st.session_state.messages.append({"role": "user", "content": prompt})

# Initialize variables for modified prompt and response from model
modified_prompt = ""
response = ""

# Get response from model if user has entered a prompt
if prompt:
    modified_prompt = f"""Summarize the following text: \n\n{prompt} \n\nSummary: """
    print(modified_prompt)
    response = model.get_response(modified_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})