README.md

metadata

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

pip install -r requirements.txt
python app.py

Notes

• PDF extraction uses pypdf for simplicity.