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Download app.py from Slothwolf/CatOrDog_test: direct link, hf CLI and curl.
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https://huggingface.co/spaces/Slothwolf/CatOrDog_test/resolve/main/app.py
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hf download hf://spaces/Slothwolf/CatOrDog_test/app.py
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curl -L -o app.py https://huggingface.co/spaces/Slothwolf/CatOrDog_test/resolve/main/app.py
885 Bytes
| # AUTOGENERATED! DO NOT EDIT! File to edit: 3.GardioTest.ipynb. | |
| import platform | |
| import pathlib | |
| plt = platform.system() | |
| if plt != 'Windows': | |
| pathlib.WindowsPath = pathlib.PosixPath | |
| # %% auto 0 | |
| __all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image'] | |
| # %% 3.GardioTest.ipynb 1 | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| def is_cat(x): return x[0].isupper() | |
| # %% 3.GardioTest.ipynb 3 | |
| learn = load_learner('model.pkl') | |
| # %% 3.GardioTest.ipynb 5 | |
| categories = ('Dog','Cat') | |
| def classify_image(img): | |
| pred,idx,probs = learn.predict(img) | |
| return dict(zip(categories,map(float,probs))) | |
| # %% 3.GardioTest.ipynb 7 | |
| image = gr.Image(height=192,width=192) | |
| label = gr.Label() | |
| examples=['dog.jpg','cat.jpg','dunno.jpg'] | |
| intf = gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples) | |
| intf.launch(inline=False) | |