Update app.py

app.py

@@ -48,6 +48,7 @@ def resize_image_pil(image, new_width, new_height):
 
 
 def inference(input_img, show_gradcam, layer_name, num_classes, transparancy = 0.5):
+    print(show_gradcam, layer_name, num_classes, transparancy)
     input_img = resize_image_pil(input_img,32,32)
     input_img = np.array(input_img)
     org_img = input_img
@@ -101,7 +102,7 @@ demo = gr.Interface(
     ],
     title = "CIFAR 10 trained on ResNet model in pytorch lightning with Gradcam",
     description = " A simple gradio inference to infer on resnet18 model",
-    examples = [["cat.jpg", True, 10, "1", -1],
+    examples = [["cat.jpg", 10, True, "1", -1],
                 ["dog.jpg", 4,  False, "1", -1]]
 )