Update app.py

app.py

@@ -125,40 +125,37 @@ 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):
-            mri_input = gr.File(label="Upload a T1w MRI (NIfTI .nii.gz)")
-            age_input = gr.Number(label="Enter Age", value=50)
-            sex_input = gr.Radio(["Male", "Female"], label="Select Sex")
-            submit_button = gr.Button("Predict")
-
-        with gr.Column(scale=2):
-            #brain_age_output = gr.Textbox(label="Predicted Brain Age", interactive=False)
-            #bad_output = gr.HTML(label="Brain Age Difference")  # Use gr.HTML for colored text
-            brain_age_output = gr.Textbox(label="Output")
-            
-    submit_button.click(fn=predict_brain_age, inputs=[mri_input, age_input], outputs=[brain_age_output])
-
-    #submit_button.click(
-    #    fn=predict_brain_age,
-    #    inputs=[mri_input, age_input], #sex_input
-    #    outputs=[brain_age_output, bad_output]
-    #)
-
+#    with gr.Row():
+#        with gr.Column(scale=1):
+#            mri_input = gr.File(label="Upload a T1w MRI (NIfTI .nii.gz)")
+#            age_input = gr.Number(label="Enter Age", value=50)
+#            sex_input = gr.Radio(["Male", "Female"], label="Select Sex")
+#            submit_button = gr.Button("Predict")
+#
+#        with gr.Column(scale=2):
+#            brain_age_output = gr.Textbox(label="Predicted Brain Age", interactive=False)
+#            bad_output = gr.HTML(label="Brain Age Difference")  # Use gr.HTML for colored text  
+#
+#    submit_button.click(
+#        fn=predict_brain_age,
+#        inputs=[mri_input, age_input], #sex_input
+#        outputs=[brain_age_output, bad_output]
+#    )
+    
     gr.Markdown("""
     **Disclaimer:** This is a research tool and is not intended for clinical use.
 
@@ -184,5 +181,5 @@ download_model()
 
 # 🔹 Run Gradio App
 if __name__ == "__main__":
-#    demo.launch(share=True)
-    demo.launch(share=False, show_api=False)
+    demo.launch(share=True)
+