Actualizacion de Textos

app.py

@@ -258,9 +258,10 @@ with gr.Blocks() as demo:
         gr.Button("Input")
         gr.Button("Categories")
         gr.Button("X")
-    gr.Markdown(value='# Prithvi multi temporal crop classification')
+    gr.Markdown(value='# Improved Prithvi multi temporal crop classification')
     gr.Markdown(value='''Prithvi is a first-of-its-kind temporal Vision transformer pretrained by the IBM and NASA team on continental US Harmonised Landsat Sentinel 2 (HLS) data. This demo showcases how the model was finetuned to classify crop and other land use categories using multi temporal data. More detailes can be found [here](https://huggingface.co/ibm-nasa-geospatial/Prithvi-100M-multi-temporal-crop-classification).\n
     The user needs to provide an HLS geotiff image, including 18 bands for 3 time-step, and each time-step includes the channels described above (Blue, Green, Red, Narrow NIR, SWIR, SWIR 2) in order.
+    The output adds a new visualization of estimated surface
     ''')
     with gr.Row():
         with gr.Column():