Update app.py

app.py

@@ -229,8 +229,8 @@ def extract_problem_domains(df,
                             text_column='Problem_Description', 
                             cluster_range=(10, 50), 
                             top_words=17,
-                            method='sentence_transformers'
-                            # method='tfidf_kmeans'
+                            # method='sentence_transformers'
+                            method='tfidf_kmeans'
                            ):
 
 
@@ -264,7 +264,7 @@ def extract_problem_domains(df,
         # Perform K-Means clustering with Silhouette Analysis
         silhouette_scores = []
         for n_clusters in range(cluster_range[0], cluster_range[1] + 1):
-                kmeans = KMeans(n_clusters=n_clusters)#, random_state=42)
+            kmeans = KMeans(n_clusters=n_clusters)#, random_state=42)
             cluster_labels = kmeans.fit_predict(X)
             silhouette_avg = silhouette_score(X, cluster_labels)
             silhouette_scores.append(silhouette_avg)