How to build scalable web apps with OpenAI's Privacy Filter

OpenAI's Privacy Filter is an open-source model for detecting personally-identifiable information (PII) across eight categories in a single pass. The model's capabilities are demonstrated through three example web applications built using gradio.Server. These applications include a Document Privacy Explorer to highlight PII in documents, an Image Anonymizer that redacts sensitive data in images, and a SmartRedact Paste service for creating shareable, redacted text. Each example showcases how to build a custom frontend and use a gradio.Server backend to handle file processing and model inference. The provided code snippets illustrate how to create API endpoints for these privacy-focused AI applications.