Error initializing FER detector: list indices must be integers or slices, not str

[osama-shehab]

def detect_emotion(image_path):
"""Detect emotion from the given image using FER."""
print("Image Path: ", image_path)
try:
# Convert the image path to a NumPy ndarray
frame = cv2.imread(image_path)
if frame is None:
raise ValueError(f"Image at path {image_path} could not be loaded.")

    print("Frame read successfully")
    print("Type of frame:", type(frame))

    # Initialize the FER detector with the MTCNN detector with error handling
    try:
        fer_detector = FER(mtcnn=True)
        print("FER detector initialized successfully.")
    except Exception as fer_error:
        print(f"Error initializing FER detector: {fer_error}")
        return None

    # Analyze emotions using FER
    try:
        emotion_results = fer_detector.detect_emotions(frame)
        print("Emotion Results: ", emotion_results)  # Debugging output
    except Exception as detect_error:
        print(f"Error detecting emotions: {detect_error}")
        return None

    if not emotion_results:
        print("No emotions detected.")
        return None

    # Ensure the result is a list of dictionaries
    if isinstance(emotion_results, list) and len(emotion_results) > 0:
        first_result = emotion_results[0]
        if isinstance(first_result, dict) and 'emotions' in first_result:
            emotions = first_result['emotions']
            if isinstance(emotions, dict):
                dominant_emotion = max(emotions, key=emotions.get)
                return dominant_emotion
            else:
                print("Emotions data is not a dictionary.")
        else:
            print("No 'emotions' key found in the first result.")
    else:
        print("Emotion results are not in the expected format.")
    return None
except Exception as e:
    print(f"Error in FER emotion detection: {e}")
    return None