Update app.py

app.py

@@ -125,19 +125,19 @@ def predict_brain_age(nifti_file, actual_age): #sex
 
 # 🔹 Gradio Interface Setup
 with gr.Blocks() as demo:
-#    gr.Markdown("""
-#    # 🧠 **BrainAgeNeXt**: Advancing Brain Age Modeling
-#    Upload a preprocessed T1w MRI scan (.nii.gz), enter the age and sex of the subject, and get the brain age prediction.
-
-#    The following preprocessing steps are required.
-#    1. Skull-stripping using [SynthStrip](https://surfer.nmr.mgh.harvard.edu/docs/synthstrip/) with the `--no-csf` flag for optimal results.
-#    2. N4 bias field correction using [ANTs](https://github.com/ANTsX/ANTs/wiki/N4BiasFieldCorrection).
-#    3. Affine registration to the MNI 1mm isotropic template space. 
-
-#    **BrainAgeNeXt** has been trained and validated using over 11,000 T1w MRI acquired at 1.5, 3, and 7T. A 1mm isotropic resolution is preferred for the input image but not required. Our [manuscript](https://doi.org/10.1162/imag_a_00487) presents a detailed explanation of **BrainAgeNeXt** and its potential applications.
-#  
-#    Note: this app allows to process only a single MRI at the time. Please visit our [GitHub repository](https://github.com/FrancescoLR/BrainAgeNeXt/tree/main) to install the code on your machine and run BrainAgeNeXt on large datasets         )
-#    """)
+    gr.Markdown("""
+    # 🧠 **BrainAgeNeXt**: Advancing Brain Age Modeling
+    Upload a preprocessed T1w MRI scan (.nii.gz), enter the age and sex of the subject, and get the brain age prediction.
+
+    The following preprocessing steps are required.
+    1. Skull-stripping using [SynthStrip](https://surfer.nmr.mgh.harvard.edu/docs/synthstrip/) with the `--no-csf` flag for optimal results.
+    2. N4 bias field correction using [ANTs](https://github.com/ANTsX/ANTs/wiki/N4BiasFieldCorrection).
+    3. Affine registration to the MNI 1mm isotropic template space. 
+
+    **BrainAgeNeXt** has been trained and validated using over 11,000 T1w MRI acquired at 1.5, 3, and 7T. A 1mm isotropic resolution is preferred for the input image but not required. Our [manuscript](https://doi.org/10.1162/imag_a_00487) presents a detailed explanation of **BrainAgeNeXt** and its potential applications.
+  
+    Note: this app allows to process only a single MRI at the time. Please visit our [GitHub repository](https://github.com/FrancescoLR/BrainAgeNeXt/tree/main) to install the code on your machine and run BrainAgeNeXt on large datasets         )
+    """)
           
 #    with gr.Row():
 #        with gr.Column(scale=1):