Update app.py

app.py

@@ -1,12 +1,17 @@
 import streamlit as st
 import pandas as pd
 import re
+import nltk
 from nltk.tokenize import word_tokenize
 from nltk.corpus import stopwords
 from nltk.stem import WordNetLemmatizer
 from transformers import pipeline
 from PIL import Image
 
+# Download NLTK resources
+nltk.download('stopwords')
+nltk.download('punkt')  # For tokenization
+
 # Load Models
 news_classifier = pipeline("text-classification", model="Oneli/News_Classification")
 
@@ -147,4 +152,3 @@ if question:
             st.subheader("Confidence")
             st.progress(float(result["score"]))
             st.write(f"Confidence Score: {result['score']:.4f}")
-