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# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
# %% auto 0
__all__ = ['path', 'model_path', 'learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
# %% app.ipynb 3
from fastai.vision.all import *
import gradio as gr
import pathlib
import os
# %% app.ipynb 4
path = pathlib.Path('.')
try:
path = pathlib.Path(__file__).parent.resolve()
except NameError:
if 'SPACE_ID' in os.environ:
path = pathlib.Path('nbs')
model_path = path / 'model.pkl'
learn = load_learner(model_path)
# %% app.ipynb 5
categories = learn.dls.vocab
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
# %% app.ipynb 6
image = gr.Image(type="pil")
label = gr.Label()
examples = [
path / 'black_bear.jpg',
path / 'grizzly_bear.jpg',
path / 'teddy_bear.jpg'
]
intf = gr.Interface(
fn=classify_image,
inputs=image,
outputs=label,
examples=examples
)
intf.launch(inline=False)
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