from fastai.vision.all import *
import gradio as gr
learn = load_learner('model.pkl')


categories = ('Meth Damon', 'Matt Damon')


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 = ['matt damon.jpg', 'jesse.jpeg', 'matt damon 2.webp', 'jesse 2.jpeg',
            'matt damon 3.webp', 'jesse 3.webp', 'matt damon 4.webp', 'jesse 4.webp']

intf = gr.Interface(fn=classify_image, inputs=image,
                    outputs=label, examples=examples)

intf.launch(inline=False)