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Update app.py
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app.py
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@@ -109,7 +109,7 @@ def app_outputs(uploaded_pdf):
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return msg, img_files[0], img_files[1], images[0], images[1], csv_files[0], csv_files[1], df[0], df[1]
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# gradio APP
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with gr.Blocks(title="
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gr.HTML("""
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<div style="font-family:'Times New Roman', 'Serif'; font-size:26pt; font-weight:bold; text-align:center;"><h1>Inference application for Documents layout analysis at line level (v1 - LiLT base)</h1></div>
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<div style="margin-top: 40px"><p>(02/12/2023) This application uses the <a style="text-decoration: none; border-bottom: #64b5f6 0.125em solid; color: #64b5f6" href="https://huggingface.co/NiamaLynn/lilt-roberta-DocLayNet-base_lines_ml256-v1" target="_blank">model LiLT base combined with XLM-RoBERTa base and finetuned on the dataset DocLayNet base at line level</a> (chunk size of 256 tokens).</p></div>
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return msg, img_files[0], img_files[1], images[0], images[1], csv_files[0], csv_files[1], df[0], df[1]
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# gradio APP
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with gr.Blocks(title="Application for document layout analysis at line level (v1 - LiLT base)", css=".gradio-container") as demo:
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gr.HTML("""
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<div style="font-family:'Times New Roman', 'Serif'; font-size:26pt; font-weight:bold; text-align:center;"><h1>Inference application for Documents layout analysis at line level (v1 - LiLT base)</h1></div>
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<div style="margin-top: 40px"><p>(02/12/2023) This application uses the <a style="text-decoration: none; border-bottom: #64b5f6 0.125em solid; color: #64b5f6" href="https://huggingface.co/NiamaLynn/lilt-roberta-DocLayNet-base_lines_ml256-v1" target="_blank">model LiLT base combined with XLM-RoBERTa base and finetuned on the dataset DocLayNet base at line level</a> (chunk size of 256 tokens).</p></div>
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