Update app.py

app.py

@@ -235,7 +235,7 @@ func = partial(inference_on_file, model=model, custom_test_pipeline=custom_test_
 with gr.Blocks() as demo:
    
     gr.Markdown(value='# multi temporal crop classification')
-    gr.Markdown(value='''this is a first-of-its-kind temporal Vision transformer 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
+    gr.Markdown(value='''this is a first-of-its-kind temporal Vision transformer 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/).\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.
     ''')
     with gr.Row():