| # AUTOGENERATED! DO NOT EDIT! File to edit: four-way-classifier.ipynb. | |
| # %% auto 0 | |
| __all__ = ['learn', 'categories', 'image', 'label', 'examples', 'interf', 'classify_image'] | |
| # %% four-way-classifier.ipynb 1 | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| import PIL | |
| import glob | |
| # %% four-way-classifier.ipynb 3 | |
| learn = load_learner( 'simple-image-classifier.pkl' ) | |
| # %% four-way-classifier.ipynb 5 | |
| categories = [ 'bird', 'forest', 'otter', 'snake' ] | |
| def classify_image( img ): | |
| pred, idx, probs = learn.predict( img ) | |
| # print( 'This is a %s'%pred ) | |
| return dict( zip( categories, map( float, probs ) ) ) | |
| # %% four-way-classifier.ipynb 6 | |
| image = gr.components.Image() | |
| label = gr.components.Label() | |
| examples = glob.glob( './resized-*.jpg' ) | |
| interf = gr.Interface( fn=classify_image, inputs=image, outputs=label, examples=examples, allow_flagging='manual' ) | |
| interf.launch( inline=True ) | |