|
|
| from fastai.vision.all import * |
| import gradio as gr |
| from huggingface_hub import from_pretrained_fastai |
|
|
| repo_id = "samrosenf/cat_vs_dog" |
|
|
| learner = from_pretrained_fastai(repo_id) |
|
|
| categories = learner.dls.vocab |
|
|
| def classify_image(img): |
| pred, idx, probs = learner.predict(img) |
| return dict(zip(categories, map(float, probs))) |
|
|
| image = gr.Image() |
| label = gr.Label() |
| examples = ['dog.jpg', 'baby_cat.jpg', 'dunno.webp', 'both.jpeg'] |
|
|
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) |
| intf.launch(inline=False) |
|
|
