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# %% auto 0
__all__ = ['learn', 'categories', 'im_size', 'examples', 'intf', 'classify_image']
#importing
from fastai.vision.all import *
import gradio as gr
import pathlib
pathlib.WindowsPath = pathlib.PosixPath
# %% ../app.ipynb 4
learn = load_learner('resnet50_10epochs.pkl')
# %% ../app.ipynb 6
categories = ['city','countryside','ocean','town']
def classify_image(img):
pred, idx, probs = learn.predict(img)
ret = dict(
zip(categories,
map(float,probs)
)
)
return ret
# %% ../app.ipynb 8
im_size = 128
image = gr.Image()
label = gr.Label()
examples = ['city.jpg',
'town.jpg',
'countryside.jpg',
'ocean.jpg']
intf = gr.Interface(fn=classify_image,
inputs=image,
outputs=label,
examples=examples)
intf.launch(inline=False)
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