| from fastai.vision.all import * | |
| import gradio as gr | |
| def bear_classifier(x): | |
| return x[0].isupper() | |
| learn = load_learner('model.pkl') | |
| categories = ('Teddy', 'Grizzly', 'Black Bear') | |
| 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 = ['teddy.jpg', 'grizzly.jpg', 'black_bear.jpg'] | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| intf.launch(inline=False) | |