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Browse files- README.md +3 -9
- app.py +29 -0
- requirements.txt +3 -0
- seasons.pkl +3 -0
- test/autumn.jpg +0 -0
- test/summer.jpg +0 -0
- test/winter-art.jpg +0 -0
- test/winter.jpg +0 -0
- train_model.ipynb +0 -0
README.md
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---
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title:
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emoji: 💻
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colorFrom: yellow
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colorTo: pink
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sdk: gradio
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sdk_version: 4.13.0
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app_file: app.py
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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title: fastai-season-guesser
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app_file: app.py
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sdk: gradio
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sdk_version: 4.11.0
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app.py
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from fastai.vision.all import load_learner, PILImage
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from pathlib import Path
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import gradio
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here = Path(__file__).parent
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predicter = load_learner(here / 'seasons.pkl')
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labels = predicter.dls.vocab
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def predict(img):
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_img = PILImage.create(img)
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_, _, probabilities = predicter.predict(_img)
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return {labels[i]: float(prob) for i, prob in enumerate(probabilities)}
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example_dir = here / 'test'
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gradio.Interface(
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fn=predict,
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inputs=gradio.Image(),
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outputs=gradio.Label(num_top_classes=3),
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title='Season Guesser',
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description='What season is this image?',
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article="<p style='text-align: center'><a href='https://github.com/exvertus/fastai-coursework/tree/main/one/seasons' target='_blank'>See the code</a></p>",
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examples=[
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example_dir / 'summer.jpg',
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example_dir / 'winter.jpg',
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example_dir / 'autumn.jpg',
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example_dir / 'winter-art.jpg',
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]
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).launch()
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requirements.txt
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fastai
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fastbook
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gradio
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seasons.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:ca807b04528dfb2ec052adf1b6fc1410089aa77de5521260064ac469dd771701
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size 87480854
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test/autumn.jpg
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test/summer.jpg
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test/winter-art.jpg
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test/winter.jpg
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train_model.ipynb
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