First try

.gitignore

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+.idea/

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+learn = load_learner('bookjudge.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 = "Judge a book by its cover? Why of course!"
+description = "Who says you can't judge a book by its cover? "
+examples = ["children.jpg", "romance.jpg", "science-fiction.jpg"]
+article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
+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, interpretation=interpretation,enable_queue=enable_queue, examples=examples).launch()

requirements.txt

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+fastai