Add app and requirements

app.py

@@ -0,0 +1,12 @@
+#!/usr/bin/env python3
+import gradio as gr
+from fastai.vision.all import *
+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']
+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)

requirements.txt

@@ -0,0 +1,2 @@
+fastai
+scikit-image