Update app.py

app.py

@@ -30,14 +30,15 @@ def find(query):
     ]
     
     quran = pd.read_csv('quran-eng.csv', delimiter=",")
+    print("load quran eng\n")
     print(time.time())
+
+    #file = open('quran-splitted.sav','rb')
+    #quran_splitted = pickle.load(file)
+    #print("load quran\n")
+    #print(time.time())
     
-    file = open('quran-splitted.sav','rb')
-    quran_splitted = pickle.load(file)
-    print("load quran\n")
-    print(time.time())
-    
-    documents = quran_splitted['text'].tolist()
+    #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'
     # pickle.dump(embeddings, open(filename, 'wb'))
@@ -54,6 +55,8 @@ def find(query):
     # insert the similarity value to dataframe & sort it
     file = open('quran-splitted.sav','rb')
     quran_splitted = pickle.load(file)
+    print("load quran\n")
+    print(time.time())
     quran_splitted['similarity'] = scores.tolist()[0]
     sorted_quran = quran_splitted.sort_values(by='similarity', ascending=False)
     print("sort by similarity\n")