Update app.py

app.py

@@ -7,6 +7,7 @@ from io import BytesIO
 import geopandas as gpd
 
 # Load datasets
+df_md_final1=pd.read_csv("data/location-of-auto-businesses.csv")
 cbg_geographic_data = pd.read_csv("data/cbg_geographic_data.csv")
 df_weekly = pd.read_parquet("data/mobility/tn_weekly_mobility_2019.parquet")
 largest_counties = cbg_geographic_data.groupby('county')['pop10'].sum().nlargest(10).index
@@ -46,15 +47,43 @@ def plot_population_by_county():
 
 # Function to create a Folium map with county boundaries
 def create_map():
-    m = folium.Map(location=[35.8601, -86.6602], zoom_start=9)
+    import folium
+    from folium.plugins import MousePosition
+    import geopandas as gpd
+
+    # Create the base map centered on Tennessee
+    m = folium.Map(location=[35.8601, -86.6602], zoom_start=8)
+
+    # Load and filter county boundaries for Tennessee
     counties_geo = gpd.read_file("data/county/01_county-shape-file.shp")
     counties_geo = counties_geo[counties_geo['statefp'] == '47']  # Filter for Tennessee
 
+    # Add county boundaries to the map
     folium.GeoJson(counties_geo).add_to(m)
+
+    # Add mouse position plugin
     MousePosition().add_to(m)
 
+    # Assume df_md_final1 is a pandas DataFrame loaded previously
+    # It should have columns 'md_x' (longitude), 'md_y' (latitude), and 'name'
+
+    # Iterate over the dataframe and add markers
+    for idx, row in df_md_final1.iterrows():
+        folium.Marker(
+            location=[row['md_y'], row['md_x']],
+            popup=str(row['name'])
+        ).add_to(m)
+
+    # Set the map bounds to Tennessee
+    m.fit_bounds([
+        [34.9829, -90.3103],  # Southwest corner of Tennessee
+        [36.6781, -81.6469]   # Northeast corner of Tennessee
+    ])
+
+    # Return the map's HTML representation
     return m._repr_html_()
 
+
 # Gradio Interface
 with gr.Blocks() as app:
     gr.Markdown("# Kora Customer Map Analysis")