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# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb. | |
# %% auto 0 | |
__all__ = ['learn', 'categories', 'examples', 'intf', 'is_cat', 'classify_image'] | |
# %% app.ipynb 1 | |
from fastai.vision.all import * | |
import gradio as gr | |
def is_cat(x): return x[0].isupper() | |
# %% app.ipynb 3 | |
learn = load_learner('model.pkl') | |
# %% app.ipynb 5 | |
categories = ('家系ラーメン', '醤油ラーメン') | |
def classify_image(img): | |
pred, idx, probs = learn.predict(img) | |
return dict(zip(categories, map(float, probs))) | |
# %% app.ipynb 7 | |
examples = ['home_ramen.jpg', 'shoyu_ramen.jpg', 'jiro_ramen.jpeg'] | |
intf = gr.Interface(fn = classify_image, inputs = 'image', outputs = 'label', examples= examples) | |
intf.launch(inline=False) | |