Update app.py

app.py

@@ -68,7 +68,7 @@ def predict(transaction_id, customer_id, merchant_id, amount, transaction_time,
         data.drop(columns=['customer_age', 'card_type_Discover', 'card_type_Visa', 'purchase_category_Groceries', 'purchase_category_Retail', 'purchase_category_Travel', 'Age_group_33-60', 'Age_group_60+'], inplace=True)
         # Make predictions
         prediction = clf.predict(data)
-        result = "Fraudulent" if prediction[0] == 1 else "Not Fraudulent"
+        result = "Fraud ❌" if prediction[0] == 1 else "Not Fraud ✅"
         # Custom output for specific IDs
         return f'Customer with ID {customer_id} and Transaction ID {transaction_id}, which happened at {transaction_time}, is {result}'
     except Exception as e:
@@ -80,7 +80,7 @@ inputs = [
     gr.Textbox(label="Customer ID"),
     gr.Textbox(label="Merchant ID"),
     gr.Number(label="Amount"),
-    gr.Textbox(label="Transaction Time"),
+    gr.Textbox(label="Transaction Date (YYYY-MM-DD)"), 
     gr.Dropdown(choices=card_type_choices, label="Card Type"),  
     gr.Dropdown(choices=location_choices, label="Location"),
     gr.Dropdown(choices=purchase_category_choices, label="Purchase Category"),