diff --git a/README.md b/README.md
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+++ b/README.md
@@ -13,6 +13,7 @@ Computer Vision Lab, ETH Zurich
 <a href="https://replicate.ai/jingyunliang/swinir"><img src="https://img.shields.io/static/v1?label=Replicate&message=Demo and Docker Image&color=blue"></a>
 [![PlayTorch Demo](https://github.com/facebookresearch/playtorch/blob/main/website/static/assets/playtorch_badge.svg)](https://playtorch.dev/snack/@playtorch/swinir/)
 [Gradio Web Demo](https://huggingface.co/spaces/akhaliq/SwinIR)
+🔥🔥🔥<b> - Integrated to [Huggingface Spaces](https://huggingface.co/spaces) with [Gradio](https://github.com/gradio-app/gradio). See demo and download output image easily: [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/givkashi/SwinIR-Super-resolution) by [@givkashi](https://github.com/givkashi) </b>
 
 This repository is the official PyTorch implementation of SwinIR: Image Restoration Using Shifted Window Transformer
 ([arxiv](https://arxiv.org/pdf/2108.10257.pdf), [supp](https://github.com/JingyunLiang/SwinIR/releases), [pretrained models](https://github.com/JingyunLiang/SwinIR/releases), [visual results](https://github.com/JingyunLiang/SwinIR/releases)). SwinIR achieves **state-of-the-art performance** in