Update app.py

app.py

@@ -11,6 +11,7 @@ from huggingface_hub import InferenceClient
 from geopy.geocoders import Nominatim
 from collections import OrderedDict
 from geopy.adapters import AioHTTPAdapter
+
 import nest_asyncio
 nest_asyncio.apply()
 
@@ -160,8 +161,9 @@ def geocode_addresses(addresses):
 
 def create_map_from_markers(dataframe):
     coordinates = geocode_addresses(dataframe["name"])
-    dataframe["lat"] = [coords['lat'] if coords else None for coords in coordinates]
-    dataframe["lon"] = [coords['lon'] if coords else None for coords in coordinates]
+    print({name: coordinates[i] for i, name in enumerate(dataframe["name"].to_list())})
+    dataframe["lat"] = [coords["lat"] if coords else None for coords in coordinates]
+    dataframe["lon"] = [coords["lon"] if coords else None for coords in coordinates]
 
     f_map = Map(
         location=[dataframe["lat"].mean(), dataframe["lon"].mean()],
@@ -171,19 +173,17 @@ def create_map_from_markers(dataframe):
     for _, row in dataframe.iterrows():
         if np.isnan(row["lat"]) or np.isnan(row["lon"]):
             continue
-        marker = folium.CircleMarker(
+        popup_message = f"<h4>{row['name']}</h4><p style='font-weight:500'>{row['description']}</p>"
+        popup_message += f"<a href='https://www.google.com/search?q={row['name']}' target='_blank'><b>Learn more about {row['name'].split(',')[0]}</b></a>"
+
+        marker = folium.Marker(
             location=[row["lat"], row["lon"]],
-            radius=10,
-            popup=folium.Popup(
-                f"<h4>{row['name']}</h4><p>{row['description']}</p>", max_width=450
-            ),
-            fill=True,
-            fill_color="blue",
-            fill_opacity=0.6,
-            color="blue",
-            weight=1,
+            popup=folium.Popup(popup_message, max_width=300),
+            icon=folium.Icon(color="yellow",icon="fa-circle-dot", prefix='fa'),
         )
         marker.add_to(f_map),
+    
+    folium.plugins.Fullscreen(position='topright', title='Expand me', title_cancel='Exit me', force_separate_button=True).add_to(f_map)
 
     bounds = [[row["lat"], row["lon"]] for _, row in dataframe.iterrows()]
     f_map.fit_bounds(bounds, padding=(100, 100))