Update app.py

app.py

@@ -225,7 +225,7 @@ if uploaded_file is not None:
             max_ndvi_buffered_geoms.append(get_zonal_ndviYoY(collection.filterBounds(buffered_ee_object), buffered_ee_object))
         
         # Create a DataFrame for YoY profile
-        yoy_df = pd.DataFrame({'Year': list(range(start_year, end_year+1)), 'NDVI_Inside': max_ndvi_geoms, 'NDVI_Buffer': max_ndvi_buffered_geoms})
+        yoy_df = pd.DataFrame({'Year': [str(year) for i in range(start_year, end_year+1))], 'NDVI_Inside': max_ndvi_geoms, 'NDVI_Buffer': max_ndvi_buffered_geoms})
         yoy_df['Ratio'] = yoy_df['NDVI_Inside'] / yoy_df['NDVI_Buffer']
 
         # plot the time series
@@ -235,10 +235,11 @@ if uploaded_file is not None:
         # Visualize map on ESRI basemap
         st.write("Map Visualization")
         
-        m = geemapfolium.Map(center=polygon_info['centroid'], zoom=14)
+        m = geemapfolium.Map(center=(polygon_info['centroid'][1],polygon_info['centroid'][0]), zoom=14)
         # Center the map and display the image.
-        m.addLayer(geom_ee_object, {}, 'KML Original')
-        m.addLayer(buffered_ee_object, {}, 'KML Buffered')
+        m.add_ee_layer(geom_ee_object, {}, 'KML Original')
+        m.add_ee_layer(buffered_ee_object, {}, 'KML Buffered')
+        m.add_layer_control()
         st_folium(m)