Update app.py

app.py

@@ -27,7 +27,14 @@ def topic_modeling(texts, n_components):
     data_vectorized = vectorizer.fit_transform(texts)
     lda = LatentDirichletAllocation(n_components=n_components, random_state=0)
     lda.fit(data_vectorized)
-    features = vectorizer.get_feature_names()
+    
+    # 여기서 get_feature_names 대신 get_feature_names_out을 사용합니다
+    try:
+        features = vectorizer.get_feature_names_out()
+    except AttributeError:
+        # 이전 버전과의 호환성을 위해 예외 처리
+        features = vectorizer.get_feature_names()
+    
     topics = {}
     for topic_idx, topic in enumerate(lda.components_):
         topics[f"Topic {topic_idx + 1}"] = [features[i] for i in topic.argsort()[:-21:-1]]