Update app.py

app.py

@@ -222,9 +222,9 @@ with gr.Blocks() as demo:
     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</sup>.
     For skull-stripping, we suggest using [SynthStrip](https://surfer.nmr.mgh.harvard.edu/docs/synthstrip/) with the `--no-csf` flag for optimal results.
-
     
-    **Disclaimer:** Human subjects data should only be uploaded for processing if permitted by your institution's human subjects protection office. This is a research tool and is not intended for clinical use. Clinical decisions should not be based on the outputs of this tool.
+    **Disclaimer:** Uploaded data is stored temporarily, no one has access to it, and it is deleted when the app is closed. For details, see [Gradio's file access guide](https://www.gradio.app/main/guides/file-access). Human subjects data should only be uploaded for processing if permitted by your institution's human subjects protection office.
+    This is a research tool and is not intended for clinical use. Clinical decisions should not be based on the outputs of this tool.
     
     """)