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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.
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