# __all__ = []

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

# Cell
learn = load_learner('pandaBears.pkl')

categories = ('Panda', 'Bear')

def classify_image(img):
    pred,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 = ['panda.jpg', 'panda-cartoon.jpg', 'raccoon.jpg', 'bear.jpg']

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