| __all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf'] |
|
|
| from fastai.vision.all import * |
| import gradio as gr |
|
|
| learn = load_learner('foresty.pkl') |
|
|
| categories = ('Ant', 'Bird', 'Fern', 'Moss', 'Poison Oak', "Snail", "Squirrel", "Tree", "Wildflower") |
| def classify_image(img): |
| pred, idx, probs = learn.predict(img) |
| return dict(zip(categories, map(float, probs))) |
|
|
| image=gr.Image(height = 192, width = 192) |
| label = gr.Label() |
| examples = ['ant.jpg', 'birde.jpg', 'fern.jpg', 'moss.jpg', 'poison_oak.jpg', "snail.jpg", 'squirrel.jpg', 'tree.JPG', "wildflower.jpg"] |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) |
| intf.launch(inline=False) |
