Update app.py

app.py

@@ -163,7 +163,10 @@ with gr.Blocks() as demo:
         img_input = gr.Image(type = "pil", shape = (224,224), width = 320, height = 320)
         img_output1 = gr.Image(type = "numpy", width = 320, height = 320, label = "Grad_CAM w.r.t cat")
         img_output2 = gr.Image(type = "numpy", width = 320, height = 320, label = "Grad_CAM w.r.t dog")
-        
+
+    description = "Visual Explanations from Deep Networks",
+    title = "Gradient-Weighted Class Activation Mapping (Grad-CAM)"
+    img_input.upload(get_grad, inputs = img_input, outputs = [img_output1, img_output2])
 
 demo.launch()