Update app.py

app.py

@@ -181,21 +181,22 @@ with tab4:
     st.subheader("Overview of the historic building dataset")
     st.dataframe(building_historic.head())
 
-    # Loading the parking detection feature view
-    #parking_detection_fv = fs.get_feature_view(
-    #    name = 'parking_detection_fv',
-    #    version = 1)
+    # 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)
 
-    # Function to loading the parking detection feature view as a dataset
-    #@st.cache_data()
-    #def retrieve_batch_data(feature_view=parking_detection_fv):
-    #    batch_data = feature_view.get_batch_data()
-    #    return batch_data
+    # Function to loading the feature group with latest data for building as a dataset
+    @st.cache_data()
+    def retrieve_bikelane_historic(feature_group=api_bikelane_detection_features_fg):
+        api_bikelane_detection_features_fg = feature_group.select_all()
+        df_bikelane_historic = api_bikelane_detection_features_fg.read(read_options={"use_hive": True})           
+        return df_bikelane_historic
 
-    # Retrieving batch data
-    #batch_data = retrieve_batch_data()
+    # Retrieving building data
+    bikelane_historic = retrieve_bikelane_historic()
 
-   
+    # Display historic building dataset overview
+    st.subheader("Overview of the historic bikelane dataset")
+    st.dataframe(bikelane_historic.head())  
 
     # Making a countplot of the predictions
     #predictions = model.predict(batch_data)