Update app.py

app.py

@@ -348,7 +348,9 @@ with gr.Blocks(css=custom_css) as demo:
     gr.Markdown(
         """
         # 📄 Document Forgery Detection
-        Upload a document image or PDF to detect and classify forgeries.
+        Upload a document image or PDF to detect and classify forgeries using deep learning. The system identifies Copy-Move, Splicing, and Text Substitution manipulations with precise localization and confidence scores.
+        
+        ---
         """
     )
     
@@ -405,13 +407,13 @@ with gr.Blocks(css=custom_css) as demo:
             gr.HTML(
                 """
                 <div style='padding:12px; border:1px solid #444; border-radius:10px; background:var(--background-fill-primary);'>
-                    <p style='margin-top:0; margin-bottom:8px;'><b>Localization:</b> MobileNetV3-Small + UNet</p>
-                    <p style='margin:4px 0; font-size:0.9em;'>Dice: 62.12% | IoU: 45.06% | Precision: 70.77% | Recall: 55.36%</p>
+                    <p style='margin-top:0; margin-bottom:4px; font-size:1.05em;'><b>Localization:</b> MobileNetV3-Small + UNet</p>
+                    <p style='margin:0 0 8px 0; font-size:0.9em; opacity:0.85;'>Dice: 62.12% | IoU: 45.06% | Precision: 70.77% | Recall: 55.36%</p>
                     
-                    <p style='margin-top:12px; margin-bottom:8px;'><b>Classification:</b> LightGBM with 526 features</p>
-                    <p style='margin:4px 0; font-size:0.9em;'>Train Accuracy: 90.53% | Val Accuracy: 88.97%</p>
+                    <p style='margin-top:8px; margin-bottom:4px; font-size:1.05em;'><b>Classification:</b> LightGBM with 526 features</p>
+                    <p style='margin:0 0 8px 0; font-size:0.9em; opacity:0.85;'>Train Accuracy: 90.53% | Val Accuracy: 88.97%</p>
                     
-                    <p style='margin-top:12px; margin-bottom:0;'><b>Training:</b> 140K samples from DocTamper dataset</p>
+                    <p style='margin-top:8px; margin-bottom:0; font-size:1.05em;'><b>Training:</b> 140K samples from DocTamper dataset</p>
                 </div>
                 """
             )