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


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 = ["dog.jpg", "cat.jpg", "dunno.jpg"]


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