#|export
from fastai.vision.all import *
import gradio as gr
learn = load_learner('model.pkl')
#|export
categories = ("off side", "on side")

def classify_image(img):
    pred,idx,probs = learn.predict(img)
    return dict(zip(categories, map(float, probs)))

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['cover_drive1.jpg', 'leg_glance2.jpg', 'sweep2.jpg']

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)