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README.md

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-# Binary Document Classifier — Gradio Space
-
-This Space hosts a Gradio app for **binary text classification** on uploaded documents.
-It supports long documents by **chunking** (512-token windows with overlap) and aggregates
-chunk probabilities into a **document-level** prediction.
-
-## Configure
-
-Set the environment variable `MODEL_ID` in your Space to point to your trained model,
-e.g. `your-username/bert-binclass`. You can also set:
-
-- `MAX_LENGTH` — tokens per chunk (default: 512)
-- `STRIDE` — overlap tokens between chunks (default: 128)
-
-## Run locally
-
-```bash
-pip install -r requirements.txt
-python app.py
-```
-
-Then open the printed Gradio URL.
-
-## Notes
-
-- PDF extraction uses `pypdf` for simplicity. For higher-quality results or OCR,
-  consider `pymupdf` (fitz) or `unstructured`.