import pathlib, platform
plt = platform.system()
if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath
from fastai.vision.all import *
import gradio as gr
def is_cat(x): return x[0].isupper()
learn=load_learner(f'model.pkl')
categories=('Собака', 'Кіт')
def classify_image(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(categories, map(float, probs)))
image=gr.components.Image()
label = gr.components.Label()
examples = [f'dog.jpg', f'cat.jpg', f'donno.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)