| 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) |