Update app.py

app.py

@@ -11,6 +11,15 @@ model = SentenceTransformer('intfloat/multilingual-e5-large-instruct')
 print("load model end")
 print(time.time())
 
+quran = pd.read_csv('quran-eng.csv', delimiter=",")
+print("load quran eng")
+print(time.time())
+
+file = open('encoded_quran_text_split_multilingual-e5-large-instructs.sav','rb')
+document_embeddings = pickle.load(file)
+print("load quran embedding")
+print(time.time())
+
 def make_clickable_both(val): 
     name, url = val.split('#')
     print(name+"\n")
@@ -28,10 +37,6 @@ def find(query):
     queries = [
         get_detailed_instruct(task, query)
     ]
-    
-    quran = pd.read_csv('quran-eng.csv', delimiter=",")
-    print("load quran eng")
-    print(time.time())
 
     #file = open('quran-splitted.sav','rb')
     #quran_splitted = pickle.load(file)
@@ -42,10 +47,6 @@ def find(query):
     # 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'))
-    file = open('encoded_quran_text_split_multilingual-e5-large-instructs.sav','rb')
-    document_embeddings = pickle.load(file)
-    print("load quran embedding")
-    print(time.time())
     
     query_embeddings = model.encode(queries, convert_to_tensor=True, normalize_embeddings=True)
     print("embed query")