adding app.py and export.pkl files

app.py

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+from fastai.vision.all import *
+import gradio as gr
+import glob
+
+learn = load_learner('export.pkl')
+
+labels = learn.dls.vocab
+
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+title='Pet Breed Classifier'
+description = ('Pet breed classifier trained on the Oxford Pets dataset' +
+               'with the fastai library and the ResNet50 neural network architecture. ' +
+               'Based on the tutorial by Dr Tanishq Abraham.')
+article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
+
+subfolder = Path('pets')
+search_pattern = str(subfolder/'*.jpg')
+jpg_files = glob.glob(search_pattern)
+
+gr.Interface(fn=predict,
+             inputs=gr.Image(),
+             outputs=gr.Label(num_top_classes=3),
+             title=title,
+             description=description,
+             article=article,
+             examples=jpg_files,
+             examples_per_page=37,
+             enable_queue=True
+            ).launch()

export.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:57b28eefe233e7a4e09ea01309d52d99fbb97d1173ac83976638f0833740f59e
+size 103061589