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

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

learn = load_learner('model.pkl')

categories = ('Star Trek', 'Star Wars')

def classify_image(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(categories, map(float, probs)))

image = gr.components.Image(shape=(192, 192))
label = gr.components.Label()
examples = ['sample1.jpg', 'sample2.jpg', 'sample3.jpg', 'sample4.jpg']

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