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

def label_func(fname: str) -> str:
    return fname.split("_")[0]

learner = load_learner("model.pkl")

categories = ("daytime", "nighttime", "sunrise")

def classify_image(img):
    _, _, probs = learner.predict(img)
    return dict(zip(categories, map(float, probs)))

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()

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