Update app.py

app.py

@@ -149,14 +149,14 @@ def get_grad(img):
     text = "Raw Score: " + str(y_pred[0]) + "\nClassification: " + infer
     return grad_img_c, grad_img_d, text
 
-demo = gr.Interface(
-    fn = get_grad,
-    with gr.Row():
-        inputs = gr.Image(type = "pil", shape = (224,224), width = 320, height = 320),
-        outputs = [gr.Image(type = "numpy", width = 320, height = 320, label = "Grad_CAM w.r.t cat"), gr.Image(type = "numpy", width = 320, height = 320, label = "Grad_CAM w.r.t dog"), gr.Textbox(label = 'Prediction', info = '[P of cat, P of dog]')], 
-    description = "Visual Explanations from Deep Networks",
-    title = "Gradient-Weighted Class Activation Mapping (Grad-CAM)"
-)
+# demo = gr.Interface(
+#     fn = get_grad,
+#     with gr.Row():
+#         inputs = gr.Image(type = "pil", shape = (224,224), width = 320, height = 320),
+#         outputs = [gr.Image(type = "numpy", width = 320, height = 320, label = "Grad_CAM w.r.t cat"), gr.Image(type = "numpy", width = 320, height = 320, label = "Grad_CAM w.r.t dog"), gr.Textbox(label = 'Prediction', info = '[P of cat, P of dog]')], 
+#     description = "Visual Explanations from Deep Networks",
+#     title = "Gradient-Weighted Class Activation Mapping (Grad-CAM)"
+# )
 
 with gr.Blocks() as demo:
     with gr.Row().style(equal_height=True):