Update app.py

app.py

@@ -56,7 +56,7 @@ model_2 = load_cnn()
 processor = LinguisticPreprocessor()
 train_data = load_dataset('rotten_tomatoes', split='train')
 vocab, tokenizer = build_vocab(train_data)
-
+stop_words = set(stopwords.words('english'))
 
 ############################################################# Text input
 
@@ -86,5 +86,4 @@ with st.expander("Model 2: CNN Sentiment analysis"):
         else:
             st.write('The sentiment is: Negative 😞', key='model2_negwrite')
 
-st.caption("Por @efeperro.")
-stop_words = set(stopwords.words('english'))
+st.caption("Por @efeperro.")