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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:

def lambda_handler(event, context):
    '''Demonstrates S3 trigger that uses
    Rekognition APIs to detect faces, labels and index faces in S3 Object.
    '''
    #print("Received event: " + json.dumps(event, indent=2))

    # Get the object from the event
    bucket = event['Records'][0]['s3']['bucket']['name']
    key = urllib.unquote_plus(event['Records'][0]['s3']['object']['key'].encode('utf8'))
    try:
        # Calls rekognition DetectFaces API to detect faces in S3 object
        response = detect_faces(bucket, key)

        # Calls rekognition DetectLabels API to detect labels in S3 object
        #response = detect_labels(bucket, key)

        # Calls rekognition IndexFaces API to detect faces in S3 object and index faces into specified collection
        #response = index_faces(bucket, key)

        # Print response to console.
        print(response)

        return response
    except Exception as e:
        print(e)
        print("Error processing object {} from bucket {}. ".format(key, bucket) +
              "Make sure your object and bucket exist and your bucket is in the same region as this function.")
        raise e