Update app.py

app.py

@@ -162,8 +162,6 @@ with tab3:
     st.markdown('*   **Model Performance:** The fifth tab explains how the underlying Machine Learning Model performs and how the predictor works.')
 
 with tab4:
-    st.markdown('...')
-
     # Loading the feature group with historic data for building
     api_building_detection_features_fg = fs.get_feature_group(name = 'api_building_detection_features', version = 1)
 
@@ -181,6 +179,11 @@ with tab4:
     st.subheader("Overview of the historic building dataset")
     st.dataframe(building_historic.head())
 
+    st.image('building_cluster.png', caption='Overview of the clusters made of the Magnetic Field Data for building')
+
+    
+    st.divider()
+    
     # Loading the feature group with historic data for bikelane
     api_bikelane_detection_features_fg = fs.get_feature_group(name = 'api_bikelane_detection_features', version = 1)
 
@@ -198,6 +201,8 @@ with tab4:
     st.subheader("Overview of the historic bikelane dataset")
     st.dataframe(bikelane_historic.head())  
 
+    st.image('bikelane_cluster.png', caption='Overview of the clusters made of the Magnetic Field Data for bikelane')
+    
     # Making a countplot of the predictions
     #predictions = model.predict(batch_data)
     #df_test = batch_data.copy()