| import os |
|
|
| os.system("pip install fastai gradio torch") |
|
|
| __all__ = ['is_cat', 'learn', 'classify_image', 'image', 'label', 'examples', 'intf'] |
|
|
| |
| from fastai.vision.all import * |
| import gradio as gr |
| import pathlib |
|
|
| def is_cat(x): return x[1].isupper() |
|
|
| |
| learn = load_learner('model.pkl') |
|
|
| |
| categories = ('Dog', 'Cat','Rabbit') |
|
|
| def classify_image(img): |
| img = PILImage.create(img) |
| pred, idx, probs = learn.predict(img) |
| return dict(zip(categories, map(float, probs))) |
| |
| image = gr.Image(type="pil") |
| label = gr.Label() |
| examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg'] |
|
|
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) |
| intf.launch() |
