| import fastbook | |
| fastbook.setup_book() | |
| from fastbook import * | |
| from fastai.vision.widgets import * | |
| path = Path() | |
| path.ls(file_exts='.pkl') | |
| learn_inf = load_learner(path/'export.pkl') | |
| categories = ('grizzly', 'black', 'teddy') | |
| def classify_image(img): | |
| pred,idx,probs = learn_inf.predict(img) | |
| return dict(zip(categories, map(float,probs))) | |
| image = gr.inputs.Image(shape=(192,192)) | |
| label = gr.outputs.Label() | |
| examples = ['bear.jpg'] | |
| intf = gr.Interface(fn = classify_image, inputs=image, outputs=label, examples=examples) | |
| intf.launch(inline=False) |