nielsr HF staff commited on
Commit
798398e
1 Parent(s): ff8baf9

Update css

Browse files
Files changed (1) hide show
  1. app.py +2 -0
app.py CHANGED
@@ -55,6 +55,7 @@ title = "Interactive demo: Document Layout Analysis with DiT"
55
  description = "Demo for Microsoft's DiT, the Document Image Transformer for state-of-the-art document understanding tasks. This particular model is fine-tuned on PubLayNet, a large dataset for document layout analysis. To use it, simply upload an image or use the example image below and click 'Submit'. Results will show up in a few seconds. If you want to make the output bigger, right-click on it and select 'Open image in new tab'."
56
  article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2203.02378' target='_blank'>DiT: Self-supervised Pre-training for Document Image Transformer</a> | <a href='https://github.com/microsoft/unilm/dit' target='_blank'>Github Repo</a></p>"
57
  examples =[['publaynet_example.jpeg']]
 
58
 
59
  iface = gr.Interface(fn=analyze_image,
60
  inputs=gr.inputs.Image(type="numpy"),
@@ -62,5 +63,6 @@ iface = gr.Interface(fn=analyze_image,
62
  title=title,
63
  description=description,
64
  examples=examples,
 
65
  enable_queue=True)
66
  iface.launch(debug=True)
 
55
  description = "Demo for Microsoft's DiT, the Document Image Transformer for state-of-the-art document understanding tasks. This particular model is fine-tuned on PubLayNet, a large dataset for document layout analysis. To use it, simply upload an image or use the example image below and click 'Submit'. Results will show up in a few seconds. If you want to make the output bigger, right-click on it and select 'Open image in new tab'."
56
  article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2203.02378' target='_blank'>DiT: Self-supervised Pre-training for Document Image Transformer</a> | <a href='https://github.com/microsoft/unilm/dit' target='_blank'>Github Repo</a></p>"
57
  examples =[['publaynet_example.jpeg']]
58
+ css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}"
59
 
60
  iface = gr.Interface(fn=analyze_image,
61
  inputs=gr.inputs.Image(type="numpy"),
 
63
  title=title,
64
  description=description,
65
  examples=examples,
66
+ css=css,
67
  enable_queue=True)
68
  iface.launch(debug=True)