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

learn = load_learner("model.pkl")

categories = learn.dls.vocab


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 = [
    "example_photos/altocumulus.jpg",
    "example_photos/lenticular.jpg",
    "example_photos/cirrocumulus.jpg",
]

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