Create README.md

README.md

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+---
+title: Binary Doc Classifier (Chunked)
+emoji: 📄
+colorFrom: indigo
+colorTo: purple
+sdk: gradio
+sdk_version: 4.44.0
+app_file: app.py
+pinned: false
+license: mit
+---
+
+# 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.
+
+## Configuration
+
+Set the following **Space variables** in the UI (Settings → Variables):
+
+- `MODEL_ID` — your trained model repo (e.g., `your-username/bert-binclass`)
+- `MAX_LENGTH` — tokens per chunk (default: `512`)
+- `STRIDE` — overlap tokens between chunks (default: `128`)
+
+## Local run
+
+```bash
+pip install -r requirements.txt
+python app.py
+```
+
+## Notes
+
+- PDF extraction uses `pypdf` for simplicity.