rmurthy1/minimal

1# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.2 3# %% auto 04__all__ = ['learn', 'categories', 'image', 'label', 'intf', 'is_cat', 'classify_image']5 6# %% app.ipynb 17from fastai.vision.all import *8import gradio as gr9 10def is_cat(x): return x[0].isupper()11 12# %% app.ipynb 813learn = load_learner('model.pkl')14 15# %% app.ipynb 1016categories = ('Black Bear', 'Brown Bear', 'Teddy Bear')17 18def classify_image(img):19    pred,idx,probs = learn.predict(img)20    return dict(zip(categories, map(float,probs)))21 22# %% app.ipynb 1223image = gr.Image()24label = gr.Label()25#examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']26 27intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)#, examples=examples)28intf.launch(inline=False, share=True)29