Update app.py

app.py

@@ -55,6 +55,14 @@ def run_front_detection(input_img):
 
     return pil_image_modified
 
-demo = gr.Interface(run_front_detection, gr.Image(type='pil'), "image", description="Not ensemble prediction just the first fold")
+demo = gr.Interface(run_front_detection, gr.Image(type='pil'), "image", title='Calving front detection with nnU-Net',
+                    description="Drag & Drop an PNG image to apply the calving fron detection <p> \
+                                we sugget to use images smaller than 200KB <p> \
+                                trained and tested with the dataset of Gourmelon et al. \
+                                https://doi.pangaea.de/10.1594/PANGAEA.940950 ")
+
+
+
+
 
 demo.launch()