emotion.py

import cv2

# You sould install the deep face library
# pip install deepface
# this code was tested in Python 3.8
from deepface import DeepFace

# You can download the file 'haarcascade_frontalface_default.xml'
# from cv2 Git hub

face_cascade = cv2.CascadeClassifier(r'C:\Users\akash\Desktop\Emotion_Detection\haarcascade_frontalface_default - Copy.xml')

cap = cv2.VideoCapture(0)

while True:
    ret,frame = cap.read()
    result = DeepFace.analyze(img_path = frame , actions=['emotion'], enforce_detection=False )

    gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)

    faces = face_cascade.detectMultiScale(gray,1.1,4)

    for (x,y,w,h) in faces:
        cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),3)

    emotion = result["dominant_emotion"]
    
    txt = str(emotion)

    cv2.putText(frame,txt,(50,50),cv2.FONT_HERSHEY_SIMPLEX,1,(0,0,255),3)
    cv2.imshow('frame',frame)

    if cv2.waitKey(1) & 0xff == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()