Update app.py

app.py

@@ -1,12 +1,12 @@
 import torch
 import nltk
 import streamlit as st
-from nltk.corpus import stopwords
 from transformers import RobertaTokenizer, RobertaForSequenceClassification
+nltk.download('stopwords')
+nltk.download('punkt')
 stop_words = set(stopwords.words('english'))
 stop_words.discard('and')
 
-
 def tokenize_sentences(sentence):
     encoded_dict = tokenizer.encode_plus(
         sentence,