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

learner = load_learner("subaru-gen-model.pkl")
categories = (
    "Fifth-gen Forester",
    "First-gen Forester",
    "Fourth-gen Forester",
    "Second-gen Forester",
    "Third-gen Forester",
)  # access using data loader vocab attribute


def classify_image(image):
    pred, idx, probs = learner.predict(image)
    return dict(zip(categories, map(float, probs)))


image = gr.Image(height=192, width=192)
label = gr.Label()
examples = [
    "1998-subaru-forester.jpg",
    "2010-subaru-forester.jpg",
    "2020-subaru-forester.jpg",
]

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

if __name__ == "__main__":
    iface.launch()