typo, cancel button is borked on hf

app.py

@@ -122,9 +122,9 @@ with gr.Blocks(title = 'Make-A-Video Stable Diffusion JAX', analytics_enabled =
             intro1 = gr.Markdown("""
                         # Make-A-Video Stable Diffusion JAX
 
-                        We have extended a pretrained LMD inpainting image generation model with temporal convolutions and attention.
+                        We have extended a pretrained LDM inpainting image generation model with temporal convolutions and attention.
                         We take advantage of the extra 5 input channels of the inpaint model to guide the video generation with a hint image and mask.
-                        The hint image can be given by the users, otherwise it is generated by an generative image model.
+                        The hint image can be given by the user, otherwise it is generated by an generative image model.
 
                         The temporal convolution and attention is a port of [Make-A-Video Pytorch](https://github.com/lucidrains/make-a-video-pytorch/blob/main/make_a_video_pytorch) to FLAX.
                         It is a pseudo 3D convolution that seperately convolves accross the spatial dimension in 2D and over the temporal dimension in 1D.
@@ -155,7 +155,7 @@ with gr.Blocks(title = 'Make-A-Video Stable Diffusion JAX', analytics_enabled =
     with gr.Row(variant = variant):
         with gr.Column(variant = variant):
             with gr.Row():
-                cancel_button = gr.Button(value = 'Cancel')
+                #cancel_button = gr.Button(value = 'Cancel')
                 submit_button = gr.Button(value = 'Make A Video', variant = 'primary')
             prompt_input = gr.Textbox(
                     label = 'Prompt',
@@ -269,7 +269,7 @@ with gr.Blocks(title = 'Make-A-Video Stable Diffusion JAX', analytics_enabled =
         inputs = trigger_inputs,
         outputs = will_trigger
     )
-    cancel_button.click(fn = lambda: None, cancels = ev)
+    #cancel_button.click(fn = lambda: None, cancels = ev)
 
 demo.queue(concurrency_count = 1, max_size = 32)
 demo.launch()