| from fastai.vision.all import * | |
| import gradio as gr | |
| learn = load_learner('tiger-model-v3.pkl') | |
| categories = ('Bengal', 'Siberian', 'White') | |
| def classify_img(img): | |
| preds, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| image = gr.Image() | |
| label = gr.Label() | |
| examples = ['ben-tiger.jpg', 'sib-tiger.jpg'] | |
| iface = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples) | |
| iface.launch() | |