Update app.py

app.py

@@ -5,6 +5,8 @@ import pandas as pd
 import torch
 from pathlib import Path  
 
+model = SentenceTransformer('intfloat/multilingual-e5-large-instruct')
+
 # Define the function to categorize ages
 def categorize_source(source):
     if "Nasa'i" in source:
@@ -34,8 +36,6 @@ def find(query):
     print("cekpoin0\n")
     
     hadiths = pd.read_csv('all_hadiths_clean.csv', delimiter=",")
-    
-    model = SentenceTransformer('intfloat/multilingual-e5-large-instruct')
 
     document_embeddings = torch.load('encoded_hadiths_multilingual-e5-large-instruct (1).sav',map_location ='cpu')
     #file = open('encoded_hadiths_multilingual-e5-large-instruct (1).sav','rb')