updated to show only predicted value for user selected images

app.py

@@ -188,8 +188,10 @@ def process_gradcam_images(num_images,layer,opacity,image_list=None):
     rgb_img = rgb_img.numpy()
 
     visualization = show_cam_on_image(rgb_img, grayscale_cam, use_rgb=True, image_weight=opacity)
-
-    grad_images.append(((visualization),f'Pred: {classes[pred.cpu()]} | Truth :{classes[correct.cpu()]}'))
+    if not image_list:
+        grad_images.append(((visualization),f'Pred: {classes[pred.cpu()]} | Truth :{classes[correct.cpu()]}'))
+    else:
+        grad_images.append(((visualization),f'Prediction: {classes[pred.cpu()]}'))
 
   print(str(num_images) + "**" + str(layer) + "**" + str(opacity))
   return  grad_images, gr.update(visible=True)