Update app.py

app.py

@@ -66,21 +66,22 @@ with tab1:
         # Function to loading the feature group with latest data for building as a dataset
         @st.cache_data()
         def retrieve_building(feature_group=new_building_fg):
-            new_building_fg = feature_group.select(["time", "x", "y", "z", "temperature", "et0_fao_evapotranspiration"])
+            new_building_fg = feature_group.select.all()
             df_building_new = new_building_fg.read(read_options={"use_hive": True})           
             return df_building_new
 
         # Retrieving building data
         building_new = retrieve_building()
-
-        # Making the predictions and getting the latest data
-        building_mag_most_recent_prediction = building_new[['x', 'y', 'z', 'temperature', 'et0_fao_evapotranspiration']]
-        building_mag_most_recent_prediction_mag = building_mag_hist_model.predict(building_mag_most_recent_prediction)
-        building_new['Status'] = building_mag_most_recent_prediction
-        building_new['Status'].replace(['detection', 'no_detection'], ['Vehicle detected', 'No vehicle detected'], inplace=True)
-        building_new = building_new.rename(columns={'time': 'Time'})
-        building_new = building_new.set_index(['Time'])
-        st.dataframe(building_new[['Status']].tail(3))       
+        st.dataframe(building_new.tail(5))
+
+        ## Making the predictions and getting the latest data
+        #building_mag_most_recent_prediction = building_new[['x', 'y', 'z', 'temperature', 'et0_fao_evapotranspiration']]
+        #building_mag_most_recent_prediction_mag = building_mag_hist_model.predict(building_mag_most_recent_prediction)
+        #building_new['Status'] = building_mag_most_recent_prediction
+        #building_new['Status'].replace(['detection', 'no_detection'], ['Vehicle detected', 'No vehicle detected'], inplace=True)
+        #building_new = building_new.rename(columns={'time': 'Time'})
+        #building_new = building_new.set_index(['Time'])
+        #st.dataframe(building_new[['Status']].tail(3))       
 
     with col2:
         st.subheader("Parking place near bikelane:")