_all_ = ['is_cat', 'learn', 'categories', 'classify_image', 'image', 'label', 'examples', 'intf']

from fastai.vision.all import *
import gradio as gr
from PIL import Image
import tqdm as notebook_tqdm

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

learn = load_learner('model.pkl')

categories = ("Dog", "Cat")

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 = ["dog1.png", "cat1.png", "dog2.png", "cat2.png"]
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)