Update app.py

app.py

@@ -8,9 +8,9 @@ from nltk.stem import WordNetLemmatizer
 from transformers import pipeline
 from PIL import Image
 
-# Download NLTK resources
+# Ensure NLTK resources are downloaded correctly
 nltk.download('stopwords')
-nltk.download('punkt')  # For tokenization
+nltk.download('punkt')
 
 # Load Models
 news_classifier = pipeline("text-classification", model="Oneli/News_Classification")
@@ -152,3 +152,4 @@ if question:
             st.subheader("Confidence")
             st.progress(float(result["score"]))
             st.write(f"Confidence Score: {result['score']:.4f}")
+