Update app.py

app.py

@@ -36,5 +36,8 @@ def inference(input_img, transparency, target_layer_number):
     visualization = show_cam_on_image(rgb_img, grayscale_cam, use_rgb=True, image_weight=transparency)
     return classes[prediction[0].item()], visualization
 
-demo = gr.Interface(inference, [gr.Image(shape=(32, 32), label="Input Image"), gr.Slider(0, 1, value = 0.5, label="Opacity of GradCAM"), gr.Slider(-5, -1, value = -2, step=1, label="Which Layer?")], ["text", gr.Image(shape=(32, 32), label="Output").style(width=128, height=128)])
+title = "CIFAR10 trained on ResNet18 Model with GradCAM"
+description = "A simple Gradio interface to infer on ResNet model, and get GradCAM results"
+examples = [["cat.jpg", "dog.jpg"]]
+demo = gr.Interface(inference, [gr.Image(shape=(32, 32), label="Input Image"), gr.Slider(0, 1, value = 0.5, label="Opacity of GradCAM"), gr.Slider(-2, -1, value = -2, step=1, label="Which Layer?")], ["text", gr.Image(shape=(32, 32), label="Output").style(width=128, height=128)])
 demo.launch()