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| title: Alias | |
| emoji: 🫥 | |
| colorFrom: gray | |
| colorTo: blue | |
| sdk: static | |
| app_file: index.html | |
| pinned: false | |
| license: mit | |
| short_description: Mask personal data (FR/EN) in the browser before an LLM | |
| models: | |
| - Gabrielkph/alias-mmbert-small | |
| # Alias, public demo | |
| Paste a French or English text: Alias highlights the personal data it finds (names, addresses, | |
| e-mails, phones, IBANs, national IDs, birth dates, file numbers) and gives the text back with | |
| stable aliases (`[PERSON_1]`, `[IBAN_1]`), ready to send to an LLM. | |
| **The detector runs in your browser.** The page downloads the model once (about 600 MB, kept by | |
| the browser for later visits) and the ONNX runtime, then masks the text locally: the text is never | |
| sent anywhere, and the page's content security policy allows no host but Hugging Face (model | |
| files) and jsDelivr (runtime). Still, use fictitious data: this is a demo. | |
| Detector: checksum and keyword rules plus a fine-tuned mmBERT-small | |
| ([model](https://huggingface.co/Gabrielkph/alias-mmbert-small)), the same as the Python package, | |
| ported to JavaScript and checked against it on GitHub Actions. Code, results and limits: | |
| [github.com/gabrielkpo/alias](https://github.com/gabrielkpo/alias). | |
| ## Files | |
| - `index.html`, `app.js`, `style.css`: the page; `app.js` loads transformers.js 4.3.2. | |
| - `alias.js`: the detector's logic (rules, token windows, masking), ported from `src/alias_pii`. | |
| - `test/`: unit tests (`npm test`) and the parity check against Python (`.github/workflows/demo.yml`); | |
| not uploaded to the Space. | |