| import gradio as gr | |
| from fastai.vision.all import all | |
| learn = load_learner('cats.pkl') | |
| categories = ('siamese', 'british shorthair', 'ragdoll', | |
| 'maine coon', 'european shorthair', 'persian') | |
| 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 = ['maine-coon.jpg', 'british.jpg', 'european.jpg'] | |
| iface = gr.Interface(fn=classify_image, inputs=image, | |
| outputs=label, examples=examples) | |
| iface.launch() | |