Update app.py

app.py

@@ -289,7 +289,10 @@ def extract_problem_domains(df,
         cluster_representations = {}
         for i in range(optimal_n_clusters):
             center = kmeans.cluster_centers_[i]
-            top_word_indices = center.argsort()[-top_words:][::-1]
+            
+            # top_word_indices = center.argsort()[-top_words:][::-1]
+            top_word_indices = center.argsort()[-top_words:][::-1].tolist()
+
             top_words = [feature_names[index] for index in top_word_indices]
             cluster_representations[i] = top_words