Create app.py

As instructed on
Practical Deep Learning for Coders
Course!

app.py

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+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learn = load_learner('PetNet24.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 = "A pet breed classifier trained on the Oxford Pets dataset with 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']
+interpretation='default'
+enable_queue=True
+
+gr.Interface(fn=predict,
+             inputs=gr.inputs.Image(shape=(512, 512)),
+             outputs=gr.outputs.Label(num_top_classes=3),
+             title=title,
+             description=description,
+             article=article,
+             examples=examples,
+             interpretation=interpretation,
+             enable_queue=enable_queue).launch()