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

#|export
learn = load_learner('export.pkl')

#|export
categories = learn.dls.vocab

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

image = gr.inputs.Image(shape=(128, 128))
label = gr.outputs.Label(num_top_classes=3)
examples = ['teddy_1.jpg', 'grizzly_1.jpg', 'black_bear.jpg']

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, title='Bear Classifier', description='An AI that identifies bears')

if __name__ == '__main__':
    intf.launch()