Upload app.py

app.py

@@ -13,6 +13,7 @@ from streamlit import session_state as session
 from htbuilder import HtmlElement, div, hr, a, p, styles
 from htbuilder.units import percent, px
 from catboost import CatBoostClassifier
+from datetime import datetime
 
 
 ###############################
@@ -183,6 +184,10 @@ def generate_prediction(input_data):
 
     -return: prediction of cardiovascular disease probability
     """
+
+    current_time = datetime.now().strftime("%H:%M:%S")
+    st.write("Current Time =", current_time)
+    st.write(input_data)
     return MODEL.predict(input_data)
 
 
@@ -217,7 +222,6 @@ if __name__ == "__main__":
 
     # Get inputs
     session.input_data = get_input_data()
-    st.write(session.input_data)
 
     # Create button to trigger poster generation
     buffer1, col1, buffer2 = st.columns([1.3, 1, 1])
@@ -230,6 +234,9 @@ if __name__ == "__main__":
     if IS_CLICKED:
         st.write('Work in progress!')
         prediction = generate_prediction(session.input_data)
+        current_time = datetime.now().strftime("%H:%M:%S")
+        st.write("Current Time =", current_time)
+        st.write(session.input_data)
         st.write(prediction)
 
     st.text("")