update HF space repo

.github/workflows/ci.yaml

@@ -40,7 +40,7 @@ jobs:
           HF_TOKEN: ${{ secrets.HF_TOKEN }}
           # Replace with your HF username and Space name
           HF_USERNAME: "anirudh0410"
-          SPACE_NAME: "WSA_Prostate"
+          SPACE_NAME: "Prostate-Inference"
         run: |
           # Create a temporary file with the metadata
           echo "---" > hf_header.txt

README.md

@@ -3,7 +3,7 @@
 </p>
 
 <p align="center">
-  <a href="https://huggingface.co/spaces/anirudh0410/WSA_Prostate">
+  <a href="https://huggingface.co/spaces/anirudh0410/Prostate-Inference">
     <img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue" alt="Hugging Face Spaces">
   </a>
 <a href="https://github.com/anirudhbalaraman/WSAttention-Prostate/actions/workflows/ci.yaml">
@@ -19,7 +19,7 @@
 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/WSA_Prostate)
+Real-time inference via [GUI](https://huggingface.co/spaces/anirudh0410/Prostate-Inference)
 
 ## ⭐ Abstract
 

docs/index.md

@@ -8,7 +8,7 @@
 
 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/WSA_Prostate)**
+💡 **GUI for real-time inference available at [Hugging Face Spaces](https://huggingface.co/spaces/anirudh0410/Prostate-Inference)**
 
 ## Key Features