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README.md

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 Predicts PI-RADS score and risk of clinically significant prostate cancer (csPCa) from T2-Weighted (T2W), Diffusion Weighted Imaging (DWI) and Apparent Diffusion Coefficient (ADC) sequences of bi-paramteric MRI (bpMRI).
 
 ## 🚀 Platform Access
-Real-time inference via [GUI](https://huggingface.co/spaces/anirudh0410/Prostate-Inference)
+Real-time inference via [GUI](https://huggingface.co/spaces/anirudh0410/WSA_Prostate)
 
 ## ⭐ Abstract
 

docs/index.md

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 WSAttention-Prostate is a two-stage deep learning pipeline that predicts clinically significant prostate cancer (csPCa) risk and PI-RADS score (2 to 5) from T2W, DWI, and ADC bpMRI sequences. The backbone is a patch based 3D Multiple-Instance Learning (MIL) model pre-trained to classify PI-RADS scores and fine-tuned to predict csPCa risk — all without requiring lesion-level annotations.
 
-💡 **GUI for real-time inference available at [Hugging Face Spaces](https://huggingface.co/spaces/anirudh0410/Prostate-Inference)**
+💡 **GUI for real-time inference available at [Hugging Face Spaces](https://huggingface.co/spaces/anirudh0410/WSA_Prostate)**
 
 ## Key Features