Update app.py

app.py

@@ -16,16 +16,18 @@ def find(query):
     quran = pd.read_csv('quran-simple-clean.txt', delimiter="|")
     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")
 
     # insert the similarity value to dataframe & sort it
     file = open('quran-splitted.sav','rb')
     quran_splitted = pickle.load(file)
     quran_splitted['similarity'] = scores.tolist()[0]
     sorted_quran = quran_splitted.sort_values(by='similarity', ascending=False)
+    print("cekpoin3\n")
     
     results = ""
     i = 0