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__all__ = ['is_makeup', 'learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
# Cell
from fastai.vision.all import *
import gradio as gr
def is_makeup(x): return x[0].isupper()
# Cell
learn = load_learner('model.pkl')
# Cell
categories = ('makeup', 'no makeup')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
# Cell
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['no makeup.jpg', 'no makeup2.jpg', 'makeup.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, title="Makeup? OR No Makeup?")
intf.launch(inline=False)
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