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

# why do we need this?
def is_cat(x): return x[0].isupper()
learner = load_learner('model.pkl')
categories = ("Dog", "Cat")

def infer(img):
    _, _, prob = learner.predict(img)
    return dict(zip(categories, map(float, prob)))

image = gr.inputs.Image(shape = (192, 192))
label = gr.outputs.Label()
examples = ['cat.jpg', 'dog.jpg']

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