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# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb. | |
# %% auto 0 | |
__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image'] | |
# %% ../app.ipynb 1 | |
from fastai.vision.all import * | |
import gradio as gr | |
def is_cat(x): return x[:3] == 'cat' | |
# %% ../app.ipynb 4 | |
learn = load_learner('model.pkl') | |
# %% ../app.ipynb 6 | |
categories = ('Dog', 'Cat') | |
def classify_image(img): | |
pred, idx, probs = learn.predict(img) | |
return dict(zip(categories, map(float,probs))) | |
# %% ../app.ipynb 8 | |
image = gr.inputs.Image(shape=(192,192)) | |
label = gr.outputs.Label() | |
examples = ['dog1.jpg', 'cat1.jpg', 'dog2.jpg'] | |
intf = gr.Interface( | |
fn=classify_image | |
, inputs=image | |
, outputs=label | |
, examples=examples | |
) | |
intf.launch(inline=False) | |