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from fastai.vision.all import *
import gradio as gr
learner = load_learner('emotion_model.pkl')
face_types = ('happy', 'sad', 'nervous', 'yawning')
def classify_image(img):
pred, indx, probs = learner.predict(img)
return dict(zip(face_types, map(float,probs)))
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['happy.jpg', 'sad.jpg', 'nervous.jpg', 'yawning.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)
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