more robust

import cv2
import os
from deepface import DeepFace

def analyze_emotion(video_path):
    # Check if the file exists
    if not os.path.isfile(video_path):
        return "Error: File not found."

    try:
        # Open the video file
        cap = cv2.VideoCapture(video_path)
        
        # Check if the video file opened successfully
        if not cap.isOpened():
            return "Error: Could not open video file."

        # Process frames from the video
        while cap.isOpened():
            ret, frame = cap.read()
            if not ret:
                break
            
            # Perform emotion analysis
            result = DeepFace.analyze(frame, actions=['emotion'])
            print(result)
        
        cap.release()
        return "Video processed successfully."
    
    except Exception as e:
        return f"Error processing video file: {e}"