Update src/streamlit_app.py

src/streamlit_app.py

@@ -246,7 +246,6 @@ top_10_crimes = df['crm_cd_desc'].value_counts().nlargest(10).index.tolist()
 # Filter the main DataFrame to include only top 10 crimes
 df_top = df[df['crm_cd_desc'].isin(top_10_crimes)]
 
-
 # Creat dropdown menu
 years = sorted(df['year'].unique())
 year_dropdown = st.selectbox("Year: ", years)
@@ -256,6 +255,7 @@ crime_dropdown = st.selectbox("Crime Type: ", top_10_crimes)
 df_filtered = df[(df['year'] == year_dropdown) & (df['crm_cd_desc'] == crime_dropdown)].sample(n=300, random_state=1)
 
 # Create the new folium map to make the map more interactive.
+# Method comes from: https://folium.streamlit.app/.
 new_map = folium.Map(location=[df_filtered['lat'].mean(), df_filtered['lon'].mean()], zoom_start=10)
 
 # Add county boundary
@@ -282,8 +282,7 @@ folium.GeoJson(geojson_data, name="County Boundaries").add_to(new_map)
 # # Call the function with selected values
 # crime_map(year_dropdown, crime_dropdown)
 
-# Add crime points
-# Method comes from: https://folium.streamlit.app/.
+# Using for-loop to add the crime points
 for _, row in df_filtered.iterrows():
     folium.CircleMarker(
         location=[row['lat'], row['lon']],