Update app.py

app.py

@@ -83,7 +83,7 @@ iface = gr.Interface(
         gr.inputs.Image(label="Transformer GradCAM"),
     ],
     title="Hybrid EfficientNet Swin Transformer Demo",
-    description="The model is trained on tf_flowers dataset.",
+    description="The model is trained on tf_flowers dataset <a href='https://www.kaggle.com/datasets/alxmamaev/flowers-recognition'>Flowers Recognition Dataset</a>. It provides 5 categories, namely: `daisy`, `rose`, `sunflower`, `tulip`, `dandelion`. One example from each class is provided in the Example section.",
     examples=[
         ["examples/dandelion.jpg"],
         ["examples/sunflower.jpg"],
@@ -93,3 +93,5 @@ iface = gr.Interface(
     ],
 )
 iface.launch()
+
+