Update app.py

app.py

@@ -217,9 +217,10 @@ def run_nnunet_predict(nifti_file):
 # Gradio interface with adjusted layout
 with gr.Blocks() as demo:
     gr.Markdown("""
-    # FLAMeS: Multiple Sclerosis Lesion Segmentation
+   # 🔥 FLAMeS: FLAIR Lesion Segmentation for Multiple Sclerosis
 
-    Upload a skull-stripped FLAIR image (.nii.gz) to generate a binary segmentation of multiple sclerosis lesions.
+    Upload a skull-stripped FLAIR brain MRI in NIfTI (.nii.gz) format to generate a binary segmentation of multiple sclerosis lesions.  
+    FLAMeS is based on the nnUNet framework<sup>2</sup> and was trained on 668 MRI scans acquired using Siemens, GE, and Philips 1.5T and 3T scanners<sup>1, 2</sup>.
     """)
 
     with gr.Row():