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__all__ = ['learner_faces', 'categories', 'classify_faces', 'image', 'label', 'examples', 'intf']
from fastai.vision.all import *
import gradio as gr
learner_faces = load_learner('faces_resenet50_78.pk1')
categories = ['sad', 'happy', 'angry']
def classify_faces(img):
prediction, index, probability = learner_faces.predict(img)
return dict(zip(categories, map(float, probability)))
intf = gr.Interface(fn=classify_faces,
inputs=gr.Image(shape=(192, 192)),
outputs=gr.Label(),
title='Happy, Sad, or Angry?',
description="Put in a picture and see what the AI thinks the expression on the face is. Happy is easy, but sad and angry are eerily similar!",
examples=['face01.jpg', 'face13.jpg', 'face02.jpg', 'face07.jpg', 'face10.jpeg', 'face11.jpg', 'face03.jpg', 'face04.jpg', 'face12.jpg', 'face05.jpg', 'face09.jpeg', 'face06.jpg', 'face08.jpeg'])
intf.launch(inline=False)
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