| |
|
|
| |
| __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('fastaiLesson2Model.pkl') |
|
|
| |
| categories = ('Dog', 'Cat') |
|
|
| 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 = ['dog.jpeg', 'cat.jpeg'] |
|
|
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) |
| intf.launch(inline=False) |
|
|
