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Update app.py
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app.py
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@@ -105,7 +105,7 @@ def process_image(image):
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return image
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title = "
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description = "Demo for Microsoft's LayoutLMv3, a Transformer for state-of-the-art document image understanding tasks. This particular model is fine-tuned on FUNSD, a dataset of manually annotated forms. It annotates the words appearing in the image as QUESTION/ANSWER/HEADER/OTHER. 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'."
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article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2204.08387' target='_blank'>LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking</a> | <a href='https://github.com/microsoft/unilm' target='_blank'>Github Repo</a></p>"
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examples = [["document.png"]]
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return image
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title = "OCR Document Parser : Information Extraction - Fine Tuned LayoutLMv3 Model"
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description = "Demo for Microsoft's LayoutLMv3, a Transformer for state-of-the-art document image understanding tasks. This particular model is fine-tuned on FUNSD, a dataset of manually annotated forms. It annotates the words appearing in the image as QUESTION/ANSWER/HEADER/OTHER. 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'."
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article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2204.08387' target='_blank'>LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking</a> | <a href='https://github.com/microsoft/unilm' target='_blank'>Github Repo</a></p>"
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examples = [["document.png"]]
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