Update app.py

app.py

@@ -10,8 +10,8 @@ tokenizer_bb = AutoTokenizer.from_pretrained("Lauraayu/News_Classi_Model")
 model_bb = AutoModelForSequenceClassification.from_pretrained("Lauraayu/News_Classi_Model")
 
 # Streamlit application title
-st.title("News Article Summarizer and Classifier")
-st.write("Enter a news article text to get its summary and category.")
+st.title("News Article Classifier")
+st.write("Enter a news article text to get its category.")
 
 # Text input for user to enter the news article text
 article = st.text_area("News Article", height=300)
@@ -41,7 +41,6 @@ if st.button("Classify"):
     label_mapping = model_bb.config.id2label
     predicted_label = label_mapping[predicted_label_id]
     
-    # Display the summary and classification result
-    st.write("Summary:", summary)
+    # Display the classification result
     st.write("Category:", predicted_label)