| import gradio as gr | |
| from fastai.vision.all import * | |
| def is_cat(x): | |
| return x[0].isupper() | |
| learn = load_learner("model.pkl") | |
| categories = ("Dog", "Cat") | |
| 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 = ["dog.jpg", "cat.jpg", "dunno.jpg"] | |
| iface = gr.Interface(fn=classify_image, inputs=image, outputs=label) | |
| iface.launch() | |