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Download app.py from programx360/fastai-chapter2-v2: direct link, hf CLI and curl.
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https://huggingface.co/spaces/programx360/fastai-chapter2-v2/resolve/main/app.py
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hf download hf://spaces/programx360/fastai-chapter2-v2/app.py
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curl -L -o app.py https://huggingface.co/spaces/programx360/fastai-chapter2-v2/resolve/main/app.py
571 Bytes
| __all__ = ['is_cat','learn','classify_image','categories','image','label','examples','intf'] | |
| 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 = ['cat.jpg'] | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| intf.launch(inline=False) | |