Update README.md

README.md

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 # BSICLE — Binary System for Illuminated Folio Classification with Lightweight Engines
 
-[![Open in Spaces](https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-md.svg)](https://huggingface.co/spaces/ENC-PSL/Medieval-Illumination-Detector)
+[![Open in Spaces](https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-md.svg)](https://huggingface.co/spaces/ENC-PSL/Medieval-Illumination-Detector) [![GitHub Pages](https://img.shields.io/badge/GitHub%20Pages-online-brightgreen?logo=github)](https://TON_USER.github.io/TON_REPO/)
 
 BSICLE  (pronounced bé-si-cle ; /be.zikl/) is a family of lightweight binary models for classify **illuminated folios in medieval manuscripts**. Theses models are developed at the [École nationale des chartes – PSL](https://www.chartes.psl.eu/) in context of [O.D.I.L. project](https://projet.biblissima.fr/fr/appels-projets/projets-retenus/odil-objet-detection-illuminations).
 
@@ -42,7 +42,7 @@ These models classify manuscript pages as:
 
 Models are optimized to run **locally (CPU) or in the browser** using **edge-compatibility architecture** (MobileNet, MobileViT) and **ONNX inference** for exemple to build **IIIF filter pipelines** or to build **specialized corpora**.
 
-Try the demo web application on [HF Spaces](https://huggingface.co/spaces/ENC-PSL/Medieval-Illumination-Detector)
+Try the demo web application on [HF Spaces](https://huggingface.co/spaces/ENC-PSL/Medieval-Illumination-Detector) or on [GH Pages]()
 
 # Models & Results