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

learn = load_learner('model.pkl')


def classify_image(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(("Chai", "Coffee"), map(float, probs)))


image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ["chai.jpg", ""]

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