# AUTOGENERATED! DO NOT EDIT! File to edit: app_baby_facial_expressions.ipynb.

# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']

# %% app_baby_facial_expressions.ipynb 1
from fastai.vision.all import *
import gradio as gr

# %% app_baby_facial_expressions.ipynb 3
learn=load_learner('is_baby_smiling.pkl')

# %% app_baby_facial_expressions.ipynb 6
categories=('baby crying','baby smiling')
def classify_image(img):
    pred,idx,probability=learn.predict(img)
    return dict(zip(categories, map(float,probability)))

# %% app_baby_facial_expressions.ipynb 8
image=gr.Image(shape=(192,192))
label=gr.Label()
examples=['smile.jpg', 'cry.jpg']

intf=gr.Interface(fn=classify_image, inputs=image, outputs=label, title='Is baby smiling or crying?', examples=examples)
intf.launch(inline=False)