Update app.py

app.py

@@ -7,6 +7,15 @@ from pathlib import Path
 import time
 
 model = SentenceTransformer('intfloat/multilingual-e5-large-instruct')
+print("load model")
+print(time.time())
+
+hadiths = pd.read_csv('all_hadiths_clean.csv', delimiter=",")
+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')
+#document_embeddings = pickle.load(file)
+print("load hadiths")
+print(time.time())
 
 # Define the function to categorize ages
 def categorize_source(source):
@@ -37,14 +46,6 @@ def find(query):
     print("start")
     print(time.time())
     
-    hadiths = pd.read_csv('all_hadiths_clean.csv', delimiter=",")
-
-    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')
-    #document_embeddings = pickle.load(file)
-    print("load hadiths")
-    print(time.time())
-    
     query_embeddings = model.encode(queries, convert_to_tensor=True, normalize_embeddings=True)
     print("embed query")
     print(time.time())