Colbe/basketball

1import gradio as gr2from fastai.vision.all import *3 4def which_player(x): return x[0].isupper()5 6learn = load_learner('model.pkl')7 8categories = learn.dls.vocab9 10def classify_image(img):11    pred, ids, probs = learn.predict(img)12    return dict(zip(categories, map(float, probs)))13 14image = gr.inputs.Image(shape=(192, 192))15label = gr.outputs.Label()16examples = ['kevin_durant_nets-scaled.jpeg', 'kyrieirving.jpg', 'kawhileonard.jpg', 'bensimmons.jpg', 'zachlavine.jpg']17 18iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)19iface.launch(inline=False)