update description

app.py

@@ -7,6 +7,7 @@ import torchvision.transforms as transforms
 
 
 title = "Fashion Image Recognition"
+description = "Trained on the Fashion MNIST dataset (28x28 pixels). The model expects images containing only one garment article as in the examples."
 inputs = gr.components.Image()
 outputs = gr.components.Label()
 examples = "examples"
@@ -41,6 +42,7 @@ with gr.Blocks() as demo:
             inputs=inputs,
             outputs=outputs,
             examples=examples,
+            description=description,
         ).queue(default_concurrency_limit=5)
 
 demo.launch()