Spaces:
Runtime error
Runtime error
| # AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb. | |
| # %% auto 0 | |
| __all__ = ['learn', 'categories', 'image', 'label', 'examples', 'title', 'description', 'article', 'interpretation', 'interface', | |
| 'classify_image'] | |
| # %% app.ipynb 2 | |
| from fastai.vision.all import * | |
| import gradio | |
| # %% app.ipynb 3 | |
| learn = load_learner('model.pkl') | |
| # %% app.ipynb 7 | |
| categories = ('ash', 'chestnut', 'ginkgo biloba', 'silver maple', 'willow oak') | |
| def classify_image(img): | |
| pred, idx, probs = learn.predict(img) | |
| # Change each probability to a float, since Gradio doesn't support Tensors or NumPy | |
| return dict(zip(categories, map(float, probs))) | |
| # %% app.ipynb 10 | |
| image = gradio.Image(shape=(192, 192)) | |
| label = gradio.Label() | |
| examples = ['images/ash.jpg', 'images/chestnut.jpg', 'images/ginkgo_biloba.jpg', | |
| 'images/silver_maple.jpg', 'images/willow_oak.jpg'] | |
| # More useful args | |
| title = "Tree leaf classifier demo" | |
| description = "A tree leaf classifier demo, trained on images downloaded from DuckDuckGo. Created as a demo of HuggingFace Spaces and Gradio." | |
| article = "<p>From this blog post: <a href='https://briansigafoos.com/ml-quick-start' target='_blank'>Machine Learning quick start by Brian Sigafoos</a></p>" | |
| interpretation = 'default' | |
| interface = gradio.Interface(fn=classify_image, inputs=image, outputs=label, | |
| examples=examples, title=title, description=description, | |
| article=article, interpretation=interpretation) | |
| interface.launch(inline=False) | |