Update app.py

app.py

@@ -17,13 +17,8 @@ import os
 import difflib
 
 
-API_URL = "https://huggingface.co/MSEAJYTHTH/NFPC/tree/main/faiss_index"
-
-
-
-
 modelPath = "MSEAJYTHTH/NFPC"
-faiss_indexPath = "MSEAJYTHTH/NFPC/faiss_index"
+db_files = ["MSEAJYTHTH/NFPC/index.faiss", "MSEAJYTHTH/NFPC/index.pkl"]
 
 
 model_kwargs = {'device':'cpu'}
@@ -37,7 +32,8 @@ embeddings = HuggingFaceEmbeddings(
 )
 
 
-db = FAISS.load_local(API_URL, embeddings, allow_dangerous_deserialization=True)
+# 두 파일을 업로드한 후에는 다음과 같이 코드를 수정할 수 있습니다.
+db = FAISS.load_local(db_files, embeddings, allow_dangerous_deserialization=True)
 
 
 def find_best_page_content(question, keywords, db):