Update app.py

app.py

@@ -118,9 +118,9 @@ def calculate_risk_and_format(mask_path, no_chemo, pd_surgery):
         prob_r1 = 0.72 # Fallback dummy
 
     # 5. Format Outputs
-    risk_percentage = prob_r1 * 100
+    risk_percentage = prob_r1
     risk_color = "red" if risk_percentage > 50 else "green"
-    risk_display = f"<h2 style='color: {risk_color}; margin-top: 0;'>Predicted probability of R1 resection: {risk_percentage:.1f}%</h2>"
+    risk_display = f"<h2 style='color: {risk_color}; margin-top: 0;'>Predicted probability of R+ resection: {risk_percentage:.2f}%</h2>"
 
     # Notice we still display the RAW un-normalized values to the user in the UI, 
     # but the model calculates risk using the SCALED values.
@@ -193,7 +193,7 @@ def process_presegmented_mask(mask_file, no_chemo, pd_surgery):
 # GRADIO UI LAYOUT
 
 with gr.Blocks() as demo:
-    gr.Markdown("# Preoperative R1 Resection Risk Predictor")
+    gr.Markdown("# Preoperative PDAC R+ Resection Risk Predictor")
     
     with gr.Row():
         # LEFT COLUMN: Inputs (Tabs + Clinical Data)