Update app.py

app.py

@@ -32,25 +32,26 @@ def predict_sentiment(text):
     return label_names[pred_label]
 
 demo_description = """
-**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 a financial news headline or short financial text.
-2. Click "Submit".
-3. View the predicted sentiment: positive, negative, or neutral.
-
-**Sample Inputs**:
-1. Finnish Componenta has published its new long-term strategy for the period 2011-2015 with the aim of growing together with its customers.
-2. Sales in UK decreased by 10.5% in January, while sales outside UK dropped by 17%.
-3. The agreement was signed with Biohit Healthcare Ltd, a UK-based subsidiary of Biohit Oyj.
-"""
+    **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**.
+    
+    **How to Use**:
+    1. Enter text: Type or paste a financial news headline (or any short text) into the text box.
+    2. Submit: Click the Submit button.
+    3. View result: The predicted sentiment label—negative, neutral, or positive
+    
+    **Sample Questions**:
+    1. Finnish Componenta has published its new long-term strategy for the period 2011-2015 with the aim of growing together with its customers .
+    2. Sales in UK decreased by 10.5 % in January , while sales outside UK dropped by 17 % .
+    3. Rinkuskiai 's beer sales fell by 6.5 per cent to 4.16 million litres , while Kauno Alus ' beer sales jumped by 6.9 per cent to 2.48 million litres .
+    4. The 2015 target for net sales has been set at GBP 1bn and the target for return on investment at over 20 % .
+    5. The agreement was signed with Biohit Healthcare Ltd , the UK-based subsidiary of Biohit Oyj , a Finnish public company which develops , manufactures and markets liquid handling products and diagnostic test systems .
+    """
 
 demo = gr.Interface(
     fn=predict_sentiment,
     inputs="text",
     outputs="text",
-    title="FinBERT Financial Sentiment Classifier",
+    title="LLaMA LoRA Financial News Headline Sentiment Demo",
     description=demo_description,
     allow_flagging="never"
 )