Update app.py

app.py

@@ -32,15 +32,15 @@ embeddings = HuggingFaceEmbeddings(
 
 def find_best_page_content(question, keywords, db):
 
-    db = FAISS.load_local("MSEAJYTHTH/NFPC/faiss_index", embeddings, allow_dangerous_deserialization=True)
+    db = FAISS.load_local("faiss_index", embeddings, allow_dangerous_deserialization=True)
     results = db.similarity_search(question, k=50, fetch_k=50)
     keywords = ', '.join(keywords)  #
 
     max_similarity = 0  # 최대 유사도 초기화
     best_page_content = ""    # 가장 유사한 결과 초기화
-    page_content = ""
-    metadata = ""
-    similarity_score = ""
+    page_content = ""    # 초기화       
+    metadata = ""    # 초기화
+    similarity_score = ""    # 초기화
 
     for i in range(50) :
        page_content = results[i].page_content