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Update app.py
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app.py
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@@ -89,10 +89,9 @@ with gr.Blocks(title="OCR QA Demo") as demo:
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gr.Markdown(
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"""
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# π OCR Quality Assessment Demo
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The pipeline evaluates the quality of text extracted via Optical Character Recognition (OCR) by estimating the proportion of (un)known words with respect to a large clean text corpus.
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It returns:
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- a **quality score** between **0.0 (poor)** and **1.0 (excellent)**, and
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gr.Markdown(
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"""
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# π Optical Character Recognition (OCR) Quality Assessment Demo
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The demo showcases how the [Impresso Project](https://impresso-project.ch) assesses the quality of ORC transcripts by estimating the proportion of (un)known words with respect to a large clean text corpus.
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It returns:
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- a **quality score** between **0.0 (poor)** and **1.0 (excellent)**, and
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