Update app.py

app.py

@@ -2,14 +2,6 @@ import streamlit as st
 import pickle
 import re
 
-from nltk.corpus import stopwords
-from nltk.tokenize import word_tokenize
-import nltk
-
-#Download NLTK Data
-nltk.download('stopwords')
-nltk.download('punkt')
-
 #loading models
 clf = pickle.load(open('clf.pkl','rb'))
 tfidf = pickle.load(open('tfidf.pkl','rb'))
@@ -49,8 +41,7 @@ def remove_stopwords(text, language='english'):
     Returns:
         filtered_text (str): Text without stopwords.
     """
-    stop_words = set(stopwords.words(language))
-    words = word_tokenize(text)
+    words = text.split()  
     filtered_words = [word for word in words if word.lower() not in stop_words]
     filtered_text = ' '.join(filtered_words)
     return filtered_text