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fastai_trees / app.py

Brian Sigafoos

Add model notebook and app.py

835040b over 1 year ago

576 Bytes

	# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.

	# %% auto 0
	__all__ = ['learn', 'categories', 'classify_image']

	# %% app.ipynb 2
	from fastai.vision.all import *
	import gradio as gr

	# %% app.ipynb 3
	learn = load_learner('model.pkl')

	# %% app.ipynb 7
	# NOTE: Put in alphabetical order
	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)))