Update app.py

app.py

@@ -130,6 +130,7 @@ clusters_jsons = None
 
 
 def run_clustering(num_clusters, clusters_to_display):
+    global clusters_jsons
     kmeans = KMeans(n_clusters=num_clusters, random_state=42)
     restaurant_clusters = cluster_embeddings(restaurant_embeddings, kmeans)
     df['cluster'] = df['res_cell_id'].map(restaurant_clusters)
@@ -161,7 +162,7 @@ def run_clustering(num_clusters, clusters_to_display):
     return analysis, m
 
 def update_display(clusters_to_display):
-    
+    global clusters_jsons
     if clusters_jsons is None:
         return Map(location=[12.935656, 77.543204], zoom_start=12)