import logging
from classification_model_monitor import classification_model_monitor
import streamlit as st

logging.basicConfig(format='%(asctime)s %(levelname)s: %(message)s', level=logging.INFO)

def main():
    try:
        st.markdown("""
 
        <style>
               .block-container {
                    padding-top: 2rem;
                    padding-bottom: 3rem;
                    padding-left: 0.5rem;
                    padding-right: 0.5rem;
                }
        </style>
      
        """, 
            unsafe_allow_html=True)
        
        logging.info('Entering application')
        classification_model_monitor()
        logging.info('Exiting application')
    except Exception as e:
        logging.critical(f"Error in main(): {e}")
        st.error("Unexpected Error. Unable to display the dashboard")

if __name__ == '__main__':
    main()