Update app.py

app.py

@@ -216,7 +216,7 @@ def inference(img):
   return result
 
 title="mobilenet_v3_large_075_224"
-description="Gradio Demo for mobilenet_v3_large_075_224: Imagenet (ILSVRC-2012-CLS) classification with EfficientNet V2 with input size 224x224. To use it, simply upload your image or click on one of the examples to load them. Read more at the links below"
-article = "<p style='text-align: center'><a href='https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet1k_b0/classification/2' target='_blank'>Tensorflow Hub</a></p>"
+description="Gradio Demo for mobilenet_v3_large_075_224: Imagenet (ILSVRC-2012-CLS) classification with MobileNet V3 large (depth multiplier 0.75). To use it, simply upload your image or click on one of the examples to load them. Read more at the links below"
+article = "<p style='text-align: center'><a href='https://tfhub.dev/google/imagenet/mobilenet_v3_large_075_224/classification/5' target='_blank'>Tensorflow Hub</a></p>"
 examples=[['Turtle.jpeg']]
 gr.Interface(inference,gr.inputs.Image(type="filepath"),"label",title=title,description=description,article=article,examples=examples).launch(enable_queue=True)