#|export
from fastai.vision.all import *

import gradio as gr
def is_cat(x): return x[0].isupper()

learn = load_learner('model.pkl')

categories = ('Dog','Cat')

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 = ['dog.jpg']

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