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import logging |
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from classification_model_monitor import classification_model_monitor |
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import streamlit as st |
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logging.basicConfig(format='%(asctime)s %(levelname)s: %(message)s', level=logging.INFO) |
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def main(): |
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try: |
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st.markdown(""" |
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<style> |
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.block-container { |
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padding-top: 2rem; |
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padding-bottom: 3rem; |
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padding-left: 0.5rem; |
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padding-right: 0.5rem; |
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} |
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</style> |
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""", |
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unsafe_allow_html=True) |
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logging.info('Entering application') |
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classification_model_monitor() |
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logging.info('Exiting application') |
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except Exception as e: |
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logging.critical(f"Error in main(): {e}") |
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st.error("Unexpected Error. Unable to display the dashboard") |
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if __name__ == '__main__': |
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main() |