| from fastai.vision.all import * | |
| import gradio as gr | |
| learn = load_learner('vanillaorcoffee.pkl') | |
| categories = ('coffee', 'vanilla') | |
| def classify_image(img): | |
| pred, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| image = gr.Image() | |
| label = gr.Label() | |
| examples = ['vanilla.jpg', 'coffee.jpg'] | |
| intf = gr.Interface(fn = classify_image, inputs=image, outputs=label, examples=examples) | |
| intf.launch(inline=False) |