__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf' ]

import fastai
from fastai.vision.all import *
import gradio as gr

learn = load_learner('model.pkl')

categories = ('black', 'grizzly', 'koala')

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 = ['black-bear.jpg', 'grizzly-bear.jpg']

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