Give the following code, I'm receiving an error: import cv2
import mediapipe as mp
import numpy as np
from PIL import ImageGrab
import keyboard
from deepface import DeepFace
import matplotlib.pyplot as plt

mp_face_detection = mp.solutions.face_detection
mp_drawing = mp.solutions.drawing_utils

def detect_faces(image):
    with mp_face_detection.FaceDetection(min_detection_confidence=0.5) as face_detection:
        # Convert the BGR image to RGB before processing.
        results = face_detection.process(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))

        # Draw the face detection annotations on the image.
        annotated_image = image.copy()
        emotions = []
        if results.detections:
            for detection in results.detections:
                mp_drawing.draw_detection(annotated_image, detection)
                # Convert image to RGB for DeepFace
                rgb_image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
                # Analyze emotion
                emotion_result = DeepFace.analyze(rgb_image, actions=['emotion'])
                emotions.append(emotion_result['dominant_emotion'])
        return annotated_image, emotions

def capture_screen_and_detect_faces():
    while True:
        screenshot = ImageGrab.grab()  # Take a screenshot
        screenshot_np = np.array(screenshot)  # Convert the screenshot to a NumPy array
        screenshot_np = cv2.cvtColor(screenshot_np, cv2.COLOR_RGB2BGR)  # Convert the image color from RGB to BGR (OpenCV uses BGR instead of RGB)
        annotated_image, emotions = detect_faces(screenshot_np)
        cv2.imshow('Faces', annotated_image)
        if cv2.waitKey(1) == 27 or keyboard.is_pressed('caps lock'):  # Break the loop if ESC key or Caps Lock is pressed
            break
    cv2.destroyAllWindows()
    return emotions

# Start the function
emotions = capture_screen_and_detect_faces()

# Plot the emotions
emotion_counts = {i:emotions.count(i) for i in emotions}
plt.bar(emotion_counts.keys(), emotion_counts.values())
plt.show()
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