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Download app.py from parneyw/digitRecogniser: direct link, hf CLI and curl.
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https://huggingface.co/spaces/parneyw/digitRecogniser/resolve/main/app.py
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hf download hf://spaces/parneyw/digitRecogniser/app.py
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curl -L -o app.py https://huggingface.co/spaces/parneyw/digitRecogniser/resolve/main/app.py
679 Bytes
| import gradio as gr | |
| from fastai.vision.all import * | |
| import skimage | |
| def label_func(x): | |
| return x.parent.name | |
| learn = load_learner("model.pkl") | |
| 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))} | |
| title = "MNIST" | |
| description = "Fast.ai Lesson 2" | |
| interpretation = "default" | |
| enable_queue = True | |
| gr.Interface( | |
| fn=predict, | |
| inputs=gr.inputs.Image(shape=(512,512)), | |
| outputs=gr.outputs.Label(num_top_classes=18), | |
| title=title, | |
| description=description, | |
| interpretation=interpretation, | |
| enable_queue=enable_queue | |
| ).launch() |