Update app.py

app.py

@@ -72,18 +72,20 @@ def predict_fraud(selected_model, selected_interpretability_method, step, transa
 with gr.Blocks() as app:
     gr.Markdown("<h2 style='text-align: center; font-weight: bold;'>FraudSenseXAI - Advanced Fraud Detection</h2>")
     gr.Markdown("<p style='text-align: center;'>Predict and analyze fraudulent transactions.</p>", elem_id="description")
+    gr.Markdown("<p style='text-align: center;'>This app utilizes financial synthetic dataset from kaggle, and it is structured to adapt to the nature of the dataset .</p>", elem_id="description")
+
     error_message = gr.Textbox(label="Error Message", visible=False, lines=2, interactive=False)
     
     
     with gr.Row():
         with gr.Column():
-            gr.Markdown("#### INPUT PARAMETERS")
+            gr.Markdown("#### INPUT PARAMETERS: All fields are required")
             model_selection = gr.Dropdown(choices=['Random Forest', 'Gradient Boost', 'Neural Network'], label="Model Selection")
             interpretability_selection = gr.Dropdown(choices=['LIME', 'SHAP'], label="Interpretability Technique")
             step = gr.Number(label="Step(Transaction Time)")
             transaction_type = gr.Dropdown(choices=['Transfer', 'Payment', 'Cash Out', 'Cash In'], label="Transaction Type")
-            transaction_amount = gr.Number(label="Transaction Amount")
-            old_balance_org = gr.Number(label="Old Balance Org")
+            transaction_amount = gr.Number(label="Transaction Amount:")
+            old_balance_org = gr.Number(label="Old Balance: total account balance prior to transaction initiation ")
             submit_btn = gr.Button("Analyze")
     
         # Define outputs