let's deploy

app.py

@@ -6,7 +6,7 @@ import skimage
 title = "Pet Breed Classifier"
 description = "A pet breed classifier trained on the Oxford Pets dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces. Thank you to Tanishq Abraham for making this demo."
 article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
-examples = ['../input/scratch-cat/scratch.jpg']
+examples = ['scratch.jpg']
 interpretation='default'
 enable_queue=True
 gr.Interface(fn=predict,inputs=gr.components.Image(shape=(512, 512)),outputs=gr.components.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples,interpretation=interpretation).launch(enable_queue=enable_queue,share=True)

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b777e098dc637285d238ca4b7ef4ecceaa8f8eda73c2be75827360fc3e97ed02
+size 102884637