| 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.png', 'black_bear.jpg'] |
|
|
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) |
| intf.launch(inline=False) |
|
|
