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 = ("Nighttime", "daylight", "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()