| import gradio as gr | |
| from fastai.vision.all import * | |
| learn = load_learner('model.pkl') | |
| categories = ('black','grizzly','teddy') | |
| def classify_image(img): | |
| prob, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| examples = ['ted.jpeg'] | |
| iface = gr.Interface(fn=classify_image, inputs=gr.Image(type="pil"), outputs=gr.Label(num_top_classes=2), examples = examples) | |
| iface.launch(inline=False) |