MikkoLipsanen commited on
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ed3c65a
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1 Parent(s): 3867b35

Update app.py

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  1. app.py +5 -2
app.py CHANGED
@@ -85,9 +85,12 @@ with gr.Blocks(theme=gr.themes.Monochrome(), title="Multicentury HTR Demo") as d
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  gr.Markdown("# Multicentury HTR Demo")
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  gr.Markdown("""The HTR pipeline contains three components: text region detection, textline detection and handwritten text recognition.
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  The components run machine learning models that have been trained at the National Archives of Finland using mostly handwritten documents
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- from 17th, 18th, 19th and 20th centuries. Best results are probably obtained when using high quality scans of documents with a regular layout.
 
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  Input image can be uploaded using the *Input image* window in the *Text content* tab, and the predicted text content will appear to the window
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- on the right side of the image. Results of text region and text line detection can be viewed in the *Text regions* and *Text lines* tabs.""")
 
 
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  with gr.Tab("Text content"):
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  with gr.Row():
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  input_img = gr.Image(label="Input image", type="pil")
 
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  gr.Markdown("# Multicentury HTR Demo")
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  gr.Markdown("""The HTR pipeline contains three components: text region detection, textline detection and handwritten text recognition.
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  The components run machine learning models that have been trained at the National Archives of Finland using mostly handwritten documents
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+ from 17th, 18th, 19th and 20th centuries.
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+
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  Input image can be uploaded using the *Input image* window in the *Text content* tab, and the predicted text content will appear to the window
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+ on the right side of the image. Results of text region and text line detection can be viewed in the *Text regions* and *Text lines* tabs.
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+ Best results are obtained when using high quality scans of documents with a regular layout.""")
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+
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  with gr.Tab("Text content"):
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  with gr.Row():
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  input_img = gr.Image(label="Input image", type="pil")