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Update app.py
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app.py
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@@ -279,11 +279,9 @@ def create_demo() -> gr.Blocks:
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<p style="font-size: 0.95em; color: #888;">
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Powered by <a href="https://www.paddleocr.ai/latest/version3.x/module_usage/layout_analysis.html" target="_blank">PP-DocLayoutV2</a> for layout analysis and <a href="https://arxiv.org/pdf/2512.21095" target="_blank">UniRec-0.1B</a> for unified recognition of text, formulas, and tables
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</p>
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</div>
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""")
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# Quick links
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gr.HTML("""
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<div class="quick-links">
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<a href="https://github.com/Topdu/OpenOCR" target="_blank">π GitHub</a>
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<a href="https://arxiv.org/pdf/2512.21095" target="_blank">π Paper</a>
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<p style="font-size: 0.95em; color: #888;">
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Powered by <a href="https://www.paddleocr.ai/latest/version3.x/module_usage/layout_analysis.html" target="_blank">PP-DocLayoutV2</a> for layout analysis and <a href="https://arxiv.org/pdf/2512.21095" target="_blank">UniRec-0.1B</a> for unified recognition of text, formulas, and tables
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</p>
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<strong>β‘ Deployment Notice:</strong>
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<p style="font-size: 0.95em; color: #888;">The current online demo uses CPU inference, which may be unstable and slow. For better performance, you can deploy locally with GPU acceleration refer to the <a href="https://github.com/Topdu/OpenOCR/blob/main/docs/opendoc.md" target="_blank">[Local GPU Deployment]</a>. We are also working on deploying OpenDoc-0.1B using inference acceleration frameworks. Stay tuned!</p>
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</div>
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<div class="quick-links">
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<a href="https://github.com/Topdu/OpenOCR" target="_blank">π GitHub</a>
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<a href="https://arxiv.org/pdf/2512.21095" target="_blank">π Paper</a>
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