| |
|
|
| |
| __all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image'] |
|
|
| |
| from fastai.vision.all import* |
| import gradio as gr |
|
|
| def is_cat(x): return x[0].isupper() |
|
|
| |
| learn = load_learner('model.pkl') |
|
|
| |
| categories = ("Dog", "Cat") |
|
|
| def classify_image(img): |
| pred,idx,probs = learn.predict(img) |
| return dict(zip(categories, map(float,probs))) |
|
|
| |
| image = gr.Image(type='pil') |
| label = gr.Label() |
| examples=['dogt1.jpg','Siberian-Cat.jpg'] |
|
|
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) |
| intf.launch(inline=True) |
|
|
