Update app.py

app.py

@@ -30,9 +30,12 @@ embeddings = HuggingFaceEmbeddings(
 )
 
 
+db = FAISS.load_local("MSEAJYTHTH/NFPC/faiss_index", embeddings, allow_dangerous_deserialization=True)
+
+
 def find_best_page_content(question, keywords, db):
 
-    db = FAISS.load_local("faiss_index", embeddings, allow_dangerous_deserialization=True)
+    db = FAISS.load_local("MSEAJYTHTH/NFPC/faiss_index", embeddings, allow_dangerous_deserialization=True)
     results = db.similarity_search(question, k=50, fetch_k=50)
     keywords = ', '.join(keywords)  #