__all__ = ['getx','gety','learn','categories','classify_images','image','label','examples','intf']

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

def getx(r):return r['fname']
def gety(r):return r['cat'].split(' ')

import pathlib
posix_backup = pathlib.PosixPath
model_path = Path('model.pkl')
try:
    pathlib.PosixPath = pathlib.WindowsPath
    learn = load_learner(model_path)
finally:
    pathlib.PosixPath = posix_backup


categories = ('Grizzly','Black','Toy','White','Brown')

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

image = gr.Image(sources="upload")
label = gr.Label()
examples = ['black.jpg','brown.jpg','grizzly.jpeg','toy.jpeg','white.jpg']

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