| | |
| |
|
| | |
| | __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.inputs.Image(shape=(192,192)) |
| | label = gr.outputs.Label() |
| | examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg'] |
| |
|
| | intf = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples) |
| | intf.launch(inline=False) |
| |
|