Update app.py

app.py

@@ -79,7 +79,7 @@ def predict_return(selected_products, total_customer_purchases, total_customer_r
             return "Error: No predictions found."
 
         # Format the cart output
-        cart_output = "\n".join(descriptions) + f"\n\nTotal Cart Value: {total_value} USD"
+        cart_output = "\n".join(descriptions) + f"\n\nTotal Cart Value: {total_value.round(2)} USD"
 
         # Format the prediction results
         formatted_result = "\n".join([f"Product: {pred['product']} \t Prediction: {pred['prediction']} \t Confidence: {pred['confidence']}%" for pred in predictions])
@@ -91,8 +91,8 @@ def predict_return(selected_products, total_customer_purchases, total_customer_r
 
 # Crea l'interfaccia Gradio con le checkbox a sinistra
 checkbox_choices = [
-    f"{row['Item Brand Model']}-{row['Item Brand Fabric']}-{row['Item Brand Colour']} - "
-    f"Type: {row['Product Type']} - Material: {row['Main Material']} - Sales: {row['Net Sales (FA)']} USD"
+    f"{row['Item Brand Model']}-{row['Item Brand Fabric']}-{row['Item Brand Colour']} "
+    f"\tType: {row['Product Type']} \tMaterial: {row['Main Material']} \tSales: {row['Net Sales (FA)'].round(2)} USD"
     for _, row in inventory.iterrows()
 ]