Update app.py

app.py

@@ -32,7 +32,7 @@ def predict_sentiment(text):
     return label_names[pred_label]
 
 demo_description = """
-    **This Space showcases a LoRA-fine-tuned LLaMA model for 3-class financial sentiment classification (negative/neutral/positive). Simply input a headline or short text related to finance, and the model will predict its sentiment**.
+    **This Space uses the FinBERT model for 3-class financial sentiment classification (positive, negative, neutral).**Simply input a financial news headline or sentence to see its sentiment classification.    
     
     **How to Use**:
     1. Enter text: Type or paste a financial news headline (or any short text) into the text box.