File size: 727 Bytes
0fcb9ef 68b70b7 0fcb9ef 0fcfdda 0fcb9ef ce12226 0fcb9ef 81be31d 0fcb9ef 9ee546e 0fcfdda 0fcb9ef 9ee546e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 |
# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
# %% app.ipynb 1
from fastai.vision.all import *
import gradio as gr
# %% app.ipynb 3
learn = load_learner('model2.pkl')
# %% app.ipynb 5
categories = ('Female', 'Male')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
# %% app.ipynb 7
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['JIMIN.png', 'HIKI.png', 'JAEM.png', 'KI.png', 'JJANG.png']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)
# %%
|