test_model.py

from fastai.vision.all import *
from fastbook import *

import pathlib
temp = pathlib.PosixPath
pathlib.PosixPath = pathlib.WindowsPath

def is_cat(x): return x[0].isupper() 

learner = load_learner('model.pkl')

categories = ('Dog', "Cat")

def classify_image(img):
    prediction, index, probs = learner.predict(img)
    return dict(zip(categories,map(float,probs)))

im = PILImage.create("samples/cute_dog.jpg","samples/cat_graffity.png")
print(classify_image(im))