Update app.py

app.py

@@ -12,6 +12,7 @@ import os
 import seaborn as sns
 import time
 import random
+from sklearn.preprocessing import StandardScaler
 
 # Configuring the web page and setting the page title and icon
 st.set_page_config(
@@ -72,14 +73,14 @@ with tab1:
         df_building_new = new_building_fg.read(read_options={"use_hive": True})           
         return df_building_new
 
+    # Retrieving building data
+    building_new = retrieve_building()
+    
     col1, col2 = st.columns(2)
 
     with col1:
         st.subheader("Magnetic field prediction")
         
-        # Retrieving building data
-        building_new = retrieve_building()
-
         # Making the predictions and getting the latest data for magnetic field data
         building_mag_prediction_data = building_new[['time', 'x', 'y', 'z', 'temperature', 'et0_fao_evapotranspiration']]                       
         building_mag_prediction_data['et0_fao_evapotranspiration'] = building_mag_prediction_data['et0_fao_evapotranspiration'].apply(fill_nan_with_zero)
@@ -111,6 +112,11 @@ with tab1:
         st.cache_data.clear()
         # Immediately rerun the application
         st.experimental_rerun()
+
+    now = datetime.now()  # Get current time 
+    today = now 
+    yesterday = today - timedelta(days=1)
+
         
 with tab2: