Update app.py

app.py

@@ -14,7 +14,7 @@ image_base64 = utils.image_to_base64("anatomy_aware_pipeline.png")
 article_html = f"<img src='data:image/png;base64,{image_base64}' alt='Anatomical pipeline illustration' style='width:100%;'>"
 
 description_markdown = """
-- This tool combines a U-Net Segmentation Model with a ResNet-50 for Classification.
+- This tool combines a U-Net Segmentation Model with a ResNet-50 for Classification. For more info checkout the GitHub here: https://github.com/FJDorfner/Anatomy-Aware-Classification-axSpA
 - **Usage:** Just drag a pelvic x-ray into the box and hit run.
 - **Process:** The input image will be segmented and cropped to the SIJ before classification.
 - **Please Note:** This tool is intended for research purposes only.