import gradio
import cv2
from deepface import DeepFace
def infer(img):
    result=DeepFace.analyze(img,actions=['emotion','gender'])
    emo=result[0].get('dominant_emotion')
    gen=result[0].get('dominant_gender')
    final=('Gender '+gen+', Emotion '+emo)
    return final
iface = gradio.Interface(fn=infer, inputs='image', outputs='text',examples=['Happy.jpg'])
iface.launch()