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

@contextmanager
def set_posix_windows():
    posix_backup = pathlib.WindowsPath
    try:
        pathlib.WindowsPath = pathlib.PosixPath
        yield
    finally:
        pathlib.WindowsPath = posix_backup

EXPORT_PATH = pathlib.Path('model.pkl')

with set_posix_windows():
    learn = load_learner(EXPORT_PATH)


categories = learn.dls.vocab

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 = ['cheetah.jpg','lion.jpg','tiger.jpg','leopard.jpg','jaguar.jpg']

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