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

learn = load_learner("model.pkl")

categories = ("contrail", "no contrail")

def classify_image(image):
    category, idx, probabilities = learn.predict(image)
    return dict(zip(categories, map(float, probabilities)))

image = gr.Image(shape=(400, 400))
label = gr.outputs.Label()
examples = ["contrail.png", "sky.png"]

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