from fastai.vision.all import *
import gradio as gr

learner = load_learner('emotion_model.pkl')
face_types = learner.dls.vocab

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)