for to import re

app.py

@@ -1,22 +1,21 @@
 import streamlit as st
 
 import numpy as np
-
+import re
 import pickle
 from collections import OrderedDict
+import io
 
 from sentence_transformers import SentenceTransformer, CrossEncoder, util
 import torch
 
-import requests
-import io
-
 from nltk.tokenize import sent_tokenize
+import nltk
 
 import gdown
+import requests
 
 
-import nltk
 nltk.download('punkt')
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")