Update app.py

app.py

@@ -229,9 +229,8 @@ interface = gr.Interface(
     description="Upload a skull-stripped FLAIR image (.nii.gz) to generate a binary segmentation of multiple sclerosis lesions.",
 )
 
-# Markdown for citations
-# Markdown for citations
-markdown = gr.Markdown("""
+# Markdown content as a string
+markdown_content = """
 **If you find this tool useful, please consider citing:**
 
 1. A Deep Learning-Based Pipeline for Longitudinal White Matter Lesion Segmentation Using Diverse FLAIR Images  
@@ -243,7 +242,7 @@ markdown = gr.Markdown("""
    F. Isensee, P. F. Jaeger, S. A. Kohl, J. Petersen, & K. H. Maier-Hein.  
    *Nature Methods.* 2021;18(2):203-211.  
    DOI: [10.1038/s41592-020-01008-z](https://www.nature.com/articles/s41592-020-01008-z)
-""")
+"""
 
 # Use Gradio Blocks for a clean layout
 with gr.Blocks() as demo:
@@ -264,7 +263,7 @@ with gr.Blocks() as demo:
             output_img = gr.Image(label="Output: Lesion Mask")
     
     # References
-    gr.Markdown(markdown)
+    gr.Markdown(markdown_content)
 
 # Debugging GPU environment
 if torch.cuda.is_available():