ArtemKobrin commited on
Commit
a809de2
·
1 Parent(s): cec8c4b

fixed naming of the demo

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Files changed (1) hide show
  1. app.py +2 -4
app.py CHANGED
@@ -40,16 +40,14 @@ def process_document(image, question):
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  return processor.token2json(sequence)
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- description = "Gradio Demo for Donut, an instance of `VisionEncoderDecoderModel` fine-tuned on DocVQA (document visual question answering). To use it, simply upload your image and type a question and click 'submit', or click one of the examples to load them. Read more at the links below."
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- article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2111.15664' target='_blank'>Donut: OCR-free Document Understanding Transformer</a> | <a href='https://github.com/clovaai/donut' target='_blank'>Github Repo</a></p>"
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  demo = gr.Interface(
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  fn=process_document,
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  inputs=["image", "text"],
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  outputs="json",
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- title="Demo: Donut 🍩 for DocVQA",
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  description=description,
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- article=article,
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  enable_queue=True,
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  examples=[["Tesla_10Q_2023.png", "What is automotive sales revenue in 2022?"], ["Toshiba.png", "What is weight of VN-M150HE?"]],
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  cache_examples=False)
 
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  return processor.token2json(sequence)
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+ description = "Neurons Lab Gradio Demo for document visual question answering. To use it, simply upload your image and type a question and click 'submit', or click one of the examples to load them. Read more at the links below."
 
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  demo = gr.Interface(
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  fn=process_document,
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  inputs=["image", "text"],
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  outputs="json",
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+ title="Neurons Lab Demo: DocVQA",
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  description=description,
 
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  enable_queue=True,
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  examples=[["Tesla_10Q_2023.png", "What is automotive sales revenue in 2022?"], ["Toshiba.png", "What is weight of VN-M150HE?"]],
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  cache_examples=False)