#|export
__all__ = ['is_cat', 'learn','classify_image', 'categories', 'image', 'label', 'examples', 'intf']

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

def is_cat(x): return x[0].isupper()
#|export

learn = load_learner('model.pkl')
#|export
catergories = ('Dog', 'Cat')

def classify_image(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(catergories, map(float,probs)))
#|export
image = gr.Image()
label = gr.Label()
examples = ['dog.jpg','cat.jpg']

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