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Update README.md

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@@ -28,19 +28,10 @@ All the power of GPU‑accelerated OCR, yet you **only pay for GPU seconds you a
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  ## 🚀 Deploy your own
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- 1. **Create** a *Gradio* Space on HuggingFace and select **ZeroGPU** in the *Hardware* dropdown (requires PRO or Inference Credits).
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- 2. Upload the three project files (`app.py`, `requirements.txt`, `README.md`) *or* just drop in the ZIP bundle.
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- 3. **Commit** – the Space builds automatically. The first OCR call downloads EasyOCR model weights (~200 MB per language group).
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  ## 💡 Usage tips
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  * Large PDFs can take several minutes; the GPU reservation duration is `600 s`. Tweak the `@spaces.GPU(duration=…)` decorator if needed.
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  * For faster queues, lower the duration or split very large documents.
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- * When you know your PDF is **text only**, selecting **native** mode skips GPU altogether for near‑instant results.
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- ## 🏗️ Contributing
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- * Code style: `black app.py` and `ruff app.py`.
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- * Test: run `pytest tests/` (sample fixtures provided).
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- Happy extracting! 📚
 
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  ## 🚀 Deploy your own
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+ **Note**: The first OCR call downloads EasyOCR model weights (~200 MB per language group).
 
 
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  ## 💡 Usage tips
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  * Large PDFs can take several minutes; the GPU reservation duration is `600 s`. Tweak the `@spaces.GPU(duration=…)` decorator if needed.
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  * For faster queues, lower the duration or split very large documents.
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+ * When you know your PDF is **text only**, selecting **native** mode skips GPU altogether for near‑instant results.