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Download app.py from mpiendl/pet_classifier: direct link, hf CLI and curl.
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https://huggingface.co/spaces/mpiendl/pet_classifier/resolve/main/app.py
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hf download hf://spaces/mpiendl/pet_classifier/app.py
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curl -L -o app.py https://huggingface.co/spaces/mpiendl/pet_classifier/resolve/main/app.py
519 Bytes
| import gradio as gr | |
| from fastai.vision.all import * | |
| from huggingface_hub import from_pretrained_fastai | |
| import skimage | |
| learner = from_pretrained_fastai("espejelomar/identify-my-cat") | |
| labels = learn.dls.vocab | |
| def predict(img): | |
| img = PILImage.create(img) | |
| pred,pred_idx,probs = learn.predict(img) | |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
| gr.Interface( | |
| fn=predict, | |
| inputs=gr.inputs.Image(share=(512,512)), | |
| outputs=gr.outputs.Label(num_top_classes=3) | |
| ).launch(share=True) |