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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'] | |
# %% ..\app.ipynb 1 | |
from sys import platform | |
import pathlib | |
if platform == 'linux': | |
pathlib.WindowsPath = pathlib.PosixPath | |
# %% ..\app.ipynb 2 | |
from fastai.vision.all import * | |
import gradio as gr | |
def is_cat(x): return x[0].isupper() | |
# %% ..\app.ipynb 7 | |
learn = load_learner('model.pkl') | |
# %% ..\app.ipynb 8 | |
categories = ('Dog', 'Cat') | |
def classify(img): | |
pred,idx,probs = learn.predict(img) | |
return dict(zip(categories, map(float, probs))) | |
# %% ..\app.ipynb 9 | |
image = gr.inputs.Image(shape=(192, 192)) | |
label = gr.outputs.Label() | |
examples = ['dog.jpg', 'cat.jpg'] | |
intf = gr.Interface(fn=classify, inputs=image, outputs=label, examples=examples) | |
intf.launch(inline=False) | |