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| import gradio as gr | |
| from fastai.vision.all import * | |
| #fix some issues with Poxixpath | |
| # import pathlib | |
| # temp = pathlib.PosixPath | |
| # pathlib.PosixPath = pathlib.WindowsPath | |
| import pathlib | |
| plt = platform.system() | |
| if plt == 'Windows': pathlib.PosixPath = pathlib.WindowsPath | |
| def is_cat(x): | |
| return x[0].isupper() | |
| learn = load_learner('model.pkl') | |
| # labels = learn.dls.vocab | |
| # learn.predict(im) | |
| # %time learn.predict(im) | |
| categories = ('Dog', 'Cat') | |
| def classify_image(img): | |
| pred, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float,probs))) | |
| image = gr.Image() | |
| label = gr.Label() | |
| examples = ['dog.jpg', 'cat.jpg'] | |
| intf = gr.Interface( | |
| fn=classify_image, | |
| inputs=image, | |
| outputs=label, | |
| examples=examples) | |
| intf.launch(inline=False) | |