| 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() |