README.md

metadata

title: GuardPII GLiNER2 Demo
emoji: 🔎
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 4.44.1
app_file: app.py
pinned: false

GuardPII GLiNER2 Demo

Gradio demo for PII extraction with GLiNER2 plus the high-precision rulebase used by the project prediction pipeline.

Inputs

• Raw text
• .docx files via python-docx
• .pdf files via LlamaParse by default, with optional local parsers: pdfplumber, pymupdf, pypdf

Hugging Face Space Setup

Upload the contents of this DEMO folder to a Hugging Face Space.

Set Space secrets or variables as needed:

• LLAMA_CLOUD_API_KEY: required when using the default llamaparse PDF parser
• HF_TOKEN: optional, needed only if the selected GLiNER2 model is private
• MODEL_ID: optional default model ID, defaults to AITeamUIT/gliner2-multi-v1-3e-20260514
• PDF_BACKEND: optional default PDF parser, defaults to llamaparse
• THRESHOLD: optional default confidence threshold, defaults to 0.5

The app caches loaded models, so the first run may be slow while the model downloads and initializes.