Update app.py

app.py

@@ -335,14 +335,14 @@ def nlp_pipeline(original_df, console_messages):
 
     
     # Domain Clustering
-    domain_df, optimal_n_clusters = extract_problem_domains(processed_df)
-
     try:
-        domain_df, optimal_n_clusters = extract_problem_domains(df, method='tfidf_kmeans')
+        domain_df, optimal_n_clusters = extract_problem_domains(processed_df)
         print(f"Optimal clusters: {optimal_clusters}")
         print(result_df.head())
+        # console_messages.append(f"Optimal clusters: {optimal_n_clusters}")
     except Exception as e:
         print(f"Error in extract_problem_domains: {e}")
+        # console_messages.append(f"Error in extract_problem_domains: {str(e)}")
 
     
     # problem_clusters, problem_model = perform_clustering(processed_df['Problem_Description'], n_clusters=10)