| import gradio as gr | |
| from fastai.vision.all import * | |
| f = Path() / 'bamboo_or_butterfly.pkl' | |
| learn_inf = load_learner(f) | |
| def predict(img): | |
| pred, pred_idx, probs = learn_inf.predict(img) | |
| return f'Prediction: {pred}; Probability:{probs[pred_idx]:.04f}' | |
| image = gr.inputs.Image(shape=(192, 192)) | |
| label = gr.outputs.Label() | |
| iface = gr.Interface(fn=predict, inputs=image, outputs=label) | |
| iface.launch(inline=False) | |