Update app.py

app.py

@@ -109,10 +109,13 @@ def filter_semantically_similar_texts_by_embedding(df, mode, embedding_field='em
 
 def search_kpi(kpi_query, kpi_count, mode):
     if mode == "BGE":
+        print("BGE 검색 시작")
         results = kpi_pool_ori.similarity_search_with_relevance_scores(kpi_query, k=50)
     elif mode == "SBERT-snunlp":
+        print("SBERT-snunlp 검색 시작")
         results = kpi_pool.similarity_search_with_relevance_scores(kpi_query, k=50)
     else:
+        print("SBERT-jhgan 검색 시작")
         results = kpi_pool2.similarity_search_with_relevance_scores(kpi_query, k=50)
 
 
@@ -142,7 +145,7 @@ def search_kpi_all_models(kpi_query, kpi_count):
     _, _, df_bge, _, _, _ = search_kpi(kpi_query, kpi_count, "BGE")
     _, _, df_sn, _, _, _ = search_kpi(kpi_query, kpi_count, "SBERT-snunlp")
     _, _, df_jh, _, _, _ = search_kpi(kpi_query, kpi_count, "SBERT-jhgan")
-    
+    print("함수 종료")
     return df_bge, df_sn, df_jh