pierreguillou commited on
Commit
17d6209
·
1 Parent(s): 03f879f

Update app.py

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -105,7 +105,7 @@ 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="Inference APP for Document Understanding at line level (v1)", 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 APP for Document Understanding at line level (v1)</h1></div>
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  <div style="margin-top: 40px"><p>(02/12/2023) This Inference APP uses the <a style="text-decoration: none; border-bottom: #64b5f6 0.125em solid; color: #64b5f6" href="https://huggingface.co/pierreguillou/lilt-xlm-roberta-base-finetuned-with-DocLayNet-base-at-linelevel-ml384" target="_blank">model LiLT base combined with XLM-RoBERTa base and finetuned on the dataset DocLayNet base at line level</a> (chunk size of 384 tokens).</p></div>
@@ -136,7 +136,7 @@ with gr.Blocks(title="Inference APP for Document Understanding at line level (v1
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  with gr.Row():
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  csvboxes = []
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  for num_page in range(max_imgboxes):
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- csv = gr.File(visible=True, label=f"CSV file at line level (page {num_page})")
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  csvboxes.append(csv)
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  with gr.Row():
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  dfboxes = []
 
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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="Inference APP for Document Understanding at paragraph level (v1)", 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 APP for Document Understanding at line level (v1)</h1></div>
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  <div style="margin-top: 40px"><p>(02/12/2023) This Inference APP uses the <a style="text-decoration: none; border-bottom: #64b5f6 0.125em solid; color: #64b5f6" href="https://huggingface.co/pierreguillou/lilt-xlm-roberta-base-finetuned-with-DocLayNet-base-at-linelevel-ml384" target="_blank">model LiLT base combined with XLM-RoBERTa base and finetuned on the dataset DocLayNet base at line level</a> (chunk size of 384 tokens).</p></div>
 
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  with gr.Row():
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  csvboxes = []
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  for num_page in range(max_imgboxes):
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+ csv = gr.File(visible=True, label=f"CSV file at paragraph level (page {num_page})")
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  csvboxes.append(csv)
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  with gr.Row():
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  dfboxes = []