Update app.py

app.py

@@ -49,7 +49,7 @@ def inference(input_img, transparency = 0.1, num = 10,target_layer=model.network
 
 title = "CIFAR10 trained on CUSTOMRESNET Model with GradCAM"
 description = "A simple Gradio interface to infer on CUSTOMRESNET model, and get input dataset, misclassified images,GradCAM results"
-examples = [["cat.jpg", 0.1, -1], ["dog.jpg", 0.1, -1], ["automobile.jpg", 0.1, -1], ["bird.jpg", 0.1, -1], ["deer.jpg", 0.1, -1], ["bird.jpg", 0.1, -1], ["ship.jpg", 0.1, -1], ["frog.jpg", 0.1, -1], ["car.jpg", 0.1, -1], ["plane.jpg", 0.1, -1] ]
+examples = [["cat.jpg", 0.1, -1], ["dog.jpg", 0.1, -1],]# ["automobile.jpg", 0.1, -1], ["bird.jpg", 0.1, -1], ["deer.jpg", 0.1, -1], ["bird.jpg", 0.1, -1], ["ship.jpg", 0.1, -1], ["frog.jpg", 0.1, -1], ["car.jpg", 0.1, -1], ["plane.jpg", 0.1, -1] ]
 demo = gr.Interface(
     inference, 
     inputs = [gr.Image(shape=(32, 32), label="Input Image"), gr.Slider(0, 1, value = 0.5, label="Opacity of GradCAM")],# (fn=dropdown_list, inputs="dropdown", inputs_args={"x": gr.inputs.Dropdown(options)},label="Layer")], 
@@ -57,5 +57,5 @@ demo = gr.Interface(
     title = title,
     description = description,
     examples = examples,
-)gr.Interface
+gr.Interface
 demo.launch()