Update app.py

app.py

@@ -160,17 +160,18 @@ else:
         shelters = shelters[(shelters['Domestic Violence'] == "No")]
 
     # calculate distances between zipcodes
-    geocoding_api_key = os.environ['OpenWeather_API_KEY']
+    if data['Zip Code'] != "Unsure":
+        geocoding_api_key = os.environ['OpenWeather_API_KEY']
+        
+        shelters_coordinates = shelters.apply(lambda row: get_coordinates(row['Zip Code'], geocoding_api_key), axis=1).tolist()
+        user_coordinates = get_coordinates(data['Zip Code'], geocoding_api_key)
     
-    shelters_coordinates = shelters.apply(lambda row: get_coordinates(row['Zip Code'], geocoding_api_key), axis=1).tolist()
-    user_coordinates = get_coordinates(data['Zip Code'], geocoding_api_key)
-
-    distances = []
-    for coordinates in shelters_coordinates:
-         distances.append(haversine(coordinates[0], coordinates[1], user_coordinates[0], user_coordinates[1]))
-
-    max = max(distances) if (max(distances) != 0) else 1
-    shelters['zipcode_score'] = [d / max for d in distances]
+        distances = []
+        for coordinates in shelters_coordinates:
+             distances.append(haversine(coordinates[0], coordinates[1], user_coordinates[0], user_coordinates[1]))
+    
+        max = max(distances) if (max(distances) != 0) else 1
+        shelters['zipcode_score'] = [d / max for d in distances]
 
     # get urgency scores 
     urgency_scores = shelters.apply(lambda row: get_urgency_score(data['Urgency'], row['Urgency']), axis=1).tolist()