Update README.md

README.md

@@ -19,4 +19,5 @@ We explore how to construct unbiased Chest X-Ray datasets using StyleGAN!
 <img width="1035" alt="Screenshot 2025-03-29 at 3 05 31 AM" src="https://github.com/user-attachments/assets/3839dcf0-6094-448e-916c-f7635a668ca7" />
 ## OverView 
 ### Introduction
-Qwen2.5-Omni is an end-to-end multimodal model designed to perceive diverse modalities, including text, images, audio, and video, while simultaneously generating text and natural speech responses in a streaming manner. 
+This is the pytorch version of previously proposed GCA algorithm. Debiasing large chest X-ray datasets using StyleGAN3. 
+We use code from HiddenInPlainSight repository to demonstrate our methods robustness agains adversarial attacks