drhead commited on
Commit
7db387d
·
verified ·
1 Parent(s): 172607a

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +11 -6
app.py CHANGED
@@ -289,8 +289,8 @@ with gr.Blocks(css=custom_css) as demo:
289
  cam_slider = gr.Slider(minimum=0.00, maximum=1.00, step=0.01, value=0.40, label="CAM Threshold", elem_classes="inferno-slider")
290
  alpha_slider = gr.Slider(minimum=0.00, maximum=1.00, step=0.01, value=0.60, label="CAM Alpha")
291
  with gr.Column():
292
- tag_string = gr.Textbox(label="Tag String")
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  threshold_slider = gr.Slider(minimum=0.00, maximum=1.00, step=0.01, value=0.20, label="Tag Threshold")
 
294
  label_box = gr.Label(label="Tag Predictions", num_top_classes=250, show_label=False)
295
 
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  gr.Markdown("""
@@ -307,7 +307,8 @@ with gr.Blocks(css=custom_css) as demo:
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  fn=run_classifier,
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  inputs=[image, threshold_slider],
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  outputs=[tag_string, label_box, original_image_state, sorted_tag_score_state],
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- show_progress='minimal'
 
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  )
312
 
313
  image.clear(
@@ -320,28 +321,32 @@ with gr.Blocks(css=custom_css) as demo:
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  fn=create_tags,
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  inputs=[threshold_slider, sorted_tag_score_state],
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  outputs=[tag_string, label_box],
323
- show_progress='hidden'
 
324
  )
325
 
326
  label_box.select(
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  fn=cam_inference,
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  inputs=[original_image_state, cam_slider, alpha_slider],
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  outputs=[image, cam_state],
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- show_progress='minimal'
 
331
  )
332
 
333
  cam_slider.input(
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  fn=create_cam_visualization_pil,
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  inputs=[original_image_state, cam_state, alpha_slider, cam_slider],
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  outputs=[image],
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- show_progress='hidden'
 
338
  )
339
 
340
  alpha_slider.input(
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  fn=create_cam_visualization_pil,
342
  inputs=[original_image_state, cam_state, alpha_slider, cam_slider],
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  outputs=[image],
344
- show_progress='hidden'
 
345
  )
346
 
347
  if __name__ == "__main__":
 
289
  cam_slider = gr.Slider(minimum=0.00, maximum=1.00, step=0.01, value=0.40, label="CAM Threshold", elem_classes="inferno-slider")
290
  alpha_slider = gr.Slider(minimum=0.00, maximum=1.00, step=0.01, value=0.60, label="CAM Alpha")
291
  with gr.Column():
 
292
  threshold_slider = gr.Slider(minimum=0.00, maximum=1.00, step=0.01, value=0.20, label="Tag Threshold")
293
+ tag_string = gr.Textbox(label="Tag String")
294
  label_box = gr.Label(label="Tag Predictions", num_top_classes=250, show_label=False)
295
 
296
  gr.Markdown("""
 
307
  fn=run_classifier,
308
  inputs=[image, threshold_slider],
309
  outputs=[tag_string, label_box, original_image_state, sorted_tag_score_state],
310
+ show_progress='minimal',
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+ show_progress_on=image
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  )
313
 
314
  image.clear(
 
321
  fn=create_tags,
322
  inputs=[threshold_slider, sorted_tag_score_state],
323
  outputs=[tag_string, label_box],
324
+ show_progress='hidden',
325
+ show_progress_on=image
326
  )
327
 
328
  label_box.select(
329
  fn=cam_inference,
330
  inputs=[original_image_state, cam_slider, alpha_slider],
331
  outputs=[image, cam_state],
332
+ show_progress='minimal',
333
+ show_progress_on=image
334
  )
335
 
336
  cam_slider.input(
337
  fn=create_cam_visualization_pil,
338
  inputs=[original_image_state, cam_state, alpha_slider, cam_slider],
339
  outputs=[image],
340
+ show_progress='hidden',
341
+ show_progress_on=image
342
  )
343
 
344
  alpha_slider.input(
345
  fn=create_cam_visualization_pil,
346
  inputs=[original_image_state, cam_state, alpha_slider, cam_slider],
347
  outputs=[image],
348
+ show_progress='hidden',
349
+ show_progress_on=image
350
  )
351
 
352
  if __name__ == "__main__":