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


import pathlib
plt = platform.system()
if plt == 'Windows': pathlib.PosixPath = pathlib.WindowsPath

model = load_learner('./model.pkl')

categories = ("Egyptian Mau", "Persian Cat", "Sphynx Cat")

def classify(im):
    cat, idx, probs = model.predict(im)
    return dict(zip(categories, map(float, probs)))

img = gr.Image()
label = gr.Label()
examples = ["persian.jpg", "egypian.jpg", "sphynix.jpg"]

intr = gradio.Interface(fn=classify, inputs=img, outputs=label)
intr.launch(inline=False)