| from fastai.vision.all import * |
| import gradio as gr |
|
|
| __all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf'] |
|
|
| learn = load_learner('model.pkl') |
| categories = learn.dls.vocab |
|
|
| 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 = ['deer.jpg', 'elk.jpg', 'moose.jpg'] |
|
|
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) |
| intf.launch() |
