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

__all__= ['learn', 'labels', 'predict', 'image', 'label', 'examples', 'iface']

learn = load_learner('export.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))}

image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['black-bear.jpg', 'grizzly.jpg', 'teddy-bear.png']


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