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

learn = load_learner("model.pkl")

categories = ("Cat", "Dog")

def classify_image(image):
    pred, i, prob = learn.predict(image)
    return dict(zip(categories, map(float, prob)))

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

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