Update app.py

app.py

@@ -19,6 +19,8 @@ def find(query):
     file = open('quran-splitted.sav','rb')
     quran_splitted = pickle.load(file)
     
+    model = SentenceTransformer('intfloat/multilingual-e5-large-instruct')
+    
     documents = quran_splitted['text'].tolist()
     document_embeddings = model.encode(documents, convert_to_tensor=True, normalize_embeddings=True)
     filename = 'encoded_quran_text_split_multilingual-e5-large-instruct.sav'
@@ -26,7 +28,7 @@ def find(query):
     #file = open('encoded_quran_text_split_multilingual-e5-large-instruct.sav','rb')
     #document_embeddings = pickle.load(file)
     print("cekpoin1\n")
-    model = SentenceTransformer('intfloat/multilingual-e5-large-instruct')
+    
     query_embeddings = model.encode(queries, convert_to_tensor=True, normalize_embeddings=True)
     scores = (query_embeddings @ document_embeddings.T) * 100
     print("cekpoin2\n")