Paolo-Fraccaro commited on
Commit
63a485f
1 Parent(s): 487df41

correct desc

Browse files
Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -193,7 +193,7 @@ with gr.Blocks() as demo:
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  gr.Markdown(value='# Prithvi burn scars detection')
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  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 detect burn scars. More detailes can be found [here](https://huggingface.co/ibm-nasa-geospatial/Prithvi-100M-burn-scar).\n
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- The user needs to provide an HLS geotiff image, including the following channels in reflectance units (e.g. 0-1): Blue, Green, Red, NIRa, SWIR, SWIR 2.
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  ''')
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  with gr.Row():
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  with gr.Column():
@@ -201,7 +201,7 @@ with gr.Blocks() as demo:
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  btn = gr.Button("Submit")
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  with gr.Row():
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- gr.Markdown(value='### Input color composite (SWIR, NIRa, Red)')
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  gr.Markdown(value='### Model prediction (Black: No burn scar; White: Burn scar)')
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  with gr.Row():
 
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  gr.Markdown(value='# Prithvi burn scars detection')
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  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 detect burn scars. More detailes can be found [here](https://huggingface.co/ibm-nasa-geospatial/Prithvi-100M-burn-scar).\n
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+ The user needs to provide an HLS geotiff image, including the following channels in reflectance units (e.g. 0-1): Blue, Green, Red, Narrow NIR, SWIR, SWIR 2.
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  ''')
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  with gr.Row():
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  with gr.Column():
 
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  btn = gr.Button("Submit")
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  with gr.Row():
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+ gr.Markdown(value='### Input color composite (SWIR, Narrow NIR, Red)')
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  gr.Markdown(value='### Model prediction (Black: No burn scar; White: Burn scar)')
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  with gr.Row():