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# %% auto 0
__all__ = ['learn', 'categories', 'Image', 'label', 'examples', 'interface', 'is_man', 'classify_image']
# %% app.ipynb 1
from fastai.vision.all import *
import gradio as gr
def is_man(x): return x[0].isupper()
# %% app.ipynb 3
learn = load_learner('sex.pkl')
# %% app.ipynb 5
categories = ("man", "girl")
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
# %% app.ipynb 7
Image = gr.Image()
label = gr.Label()
examples = ['girl1.jpeg', 'man1.jpeg']
interface = gr.Interface(
fn=classify_image,
inputs=Image,
outputs=label,
examples=examples)
interface.launch()
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