# AUTOGENERATED! DO NOT EDIT! File to edit: ../Bearify_nb.ipynb. # %% auto 0 __all__ = ['learn', 'categories', 'image', 'labels', 'examples', 'intf', 'classify_image'] # %% ../Bearify_nb.ipynb 2 from fastai.vision.all import * import gradio as gr # %% ../Bearify_nb.ipynb 5 learn = load_learner('bear_model.pkl') # %% ../Bearify_nb.ipynb 7 categories = ('Black', 'Grizzly', 'Teddy') def classify_image(img): pred, idx, probs = learn.predict(img) return dict(zip(categories, map(float, probs))) # %% ../Bearify_nb.ipynb 9 image = gr.Image() labels = gr.Label() examples = ['Images/teddy.jpg', 'Images/grizzly.jpg', 'Images/black.jpeg'] intf = gr.Interface(fn=classify_image, inputs=image, outputs=labels, examples=examples) intf.launch(inline=False)