| from fastai.vision.all import* |
| import gradio as gr |
|
|
| __all__= ['learn', 'labels', 'predict', 'image', 'label', 'examples', 'iface'] |
|
|
| learn = load_learner('export.pkl') |
|
|
| labels = learn.dls.vocab |
|
|
| def predict(img): |
| img = PILImage.create(img) |
| pred,pred_idx,probs = learn.predict(img) |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} |
|
|
| image = gr.inputs.Image(shape=(192, 192)) |
| label = gr.outputs.Label() |
| examples = ['black-bear.jpg', 'grizzly.jpg', 'teddy-bear.png'] |
|
|
|
|
| iface = gr.Interface(fn=predict, inputs=image, outputs=label, examples=examples) |
| iface.launch(inline=False) |
