Update app.py

app.py

@@ -359,8 +359,12 @@ def extract_problem_domains(df,
                 console_messages.append(f"Center shape: {center.shape}, type: {type(center)}")
                 
                 if isinstance(center, np.ndarray) and center.ndim == 1:
+                    # Ensure center.argsort() returns a numpy array
                     top_word_indices = center.argsort()[-top_words:][::-1]
                     # top_word_indices = center.argsort()[-top_words:][::-1].tolist()
+
+                    if isinstance(top_word_indices, np.ndarray):
+                        top_word_indices = top_word_indices.tolist()
                     
                     console_messages.append(f"Top word indices for cluster {i}: {top_word_indices}")
                     top_words = [feature_names[index] for index in top_word_indices]