app.py

import gradio
import cv2
from deepface import DeepFace
def infer(img):
    result=DeepFace.analyze(img,actions=["emotion"])
    result1=result[0].get(dominant_emotion)
    return result
iface = gradio.Interface(fn=infer, inputs='image', outputs='text')
iface.launch()