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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_img'] | |
# %% 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 = ("Dog", "Cat") | |
def classify_img(img): | |
pred,idx,probs = learn.predict(img) | |
return dict(zip(categories, map(float, probs))) | |
# %% app.ipynb 7 | |
image = gr.inputs.Image(shape=(192, 192)) | |
label = gr.outputs.Label() | |
examples = ["dog.jpeg", "cat.jpeg", "dunno.jpeg"] | |
intf = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples) | |
intf.launch(inline=False) | |