Update app.py

app.py

@@ -100,11 +100,11 @@ def predict(text):
 st.title("📰 NLP News Classifier")
 st.markdown("""
 This interface uses a **DistilBERT** model fine-tuned with **LoRA (Low-Rank Adaptation)**.
-It classifies news text into four categories: **World, Sports, Business, or Sci/Tech**.
+It classifies news headlines into four categories: **World, Sports, Business, or Sci/Tech**.
 """)
 
 # Dynamic Green Banner
-st.success(f"✅ **Live Model Performance:** Accuracy: {MODEL_METRICS['Accuracy']} | F1 Score: {MODEL_METRICS['F1_Score']}")
+st.success(f"✅ **Model Performance:** Accuracy: {MODEL_METRICS['Accuracy']} | F1 Score: {MODEL_METRICS['F1_Score']}")
 
 text_input = st.text_area(
     "Enter a News Article or Snippet:",