app.py

import streamlit as st
from meta_ai_api import MetaAI

# Initialize Meta AI API
ai = MetaAI()

def fetch_response(query):
    response = ai.prompt(message=query)
    return response

def display_sources(sources):
    if sources:
        with st.expander("Show Sources"):
            for source in sources:
                st.markdown(f"[{source['title']}]({source['link']})", unsafe_allow_html=True)
    else:
        st.write("No sources available.")

def main():
    st.title("AI Response Analytics Tool")

    # User input
    user_query = st.text_area("Enter your query:", height=150)
    submit_button = st.button("Analyze Query")

    if submit_button and user_query:
        # Fetching response from Meta AI
        response = fetch_response(user_query)
        
        # Display the AI response in a collapsible section
        with st.expander("Show Full Response"):
            st.write(response.get('message', 'No response message.'))

        # Display sources with clickable links in a collapsible section
        display_sources(response.get('sources', []))

if __name__ == "__main__":
    main()