| import gradio as gr | |
| from fastai.vision.all import * | |
| learner = load_learner("export.pkl") | |
| categories = ['black bear', 'grizzly bear', 'teddy bear'] | |
| def classify_image(image): | |
| pred, idx, prob = learner.predict(im) | |
| return dict(zip(categories, map(float, prob))) | |
| image = gr.inputs.Image(shape=(192, 192)) | |
| label = gr.outputs.Label() | |
| examples = ['test_image.jpg'] | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| intf.launch() |