Update app.py

Updated gradio classes

app.py

@@ -17,15 +17,15 @@ def predict(img):
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 title = "Pet Breed Classifier"
-description = "A pet breed classifier trained on the Oxford Pets dataset with fastai. Created as a demo from the course by Jeremy Howard."
+description = "A pet breed classifier trained on the Oxford Pets dataset using fastai. Created as a demo from the course by Jeremy Howard."
 article="<p style='text-align: center'><a href='https://course.fast.ai/' target='_blank'>Go to course</a></p>"
 examples = ['siamese.jpg','pug.jpg']
 interpretation='default'
 enable_queue=True
 
 gr.Interface(fn=predict,
-             inputs=gr.inputs.Image(shape=(512, 512)),
-             outputs=gr.outputs.Label(num_top_classes=3),
+             inputs=gr.Image(shape=(512, 512)),
+             outputs=gr.Label(num_top_classes=3),
              title=title,
              description=description,
              article=article,