import inflect
def summarize_predictions_natural_language(predictions):
    summary = {}
    p = inflect.engine()

    for prediction in predictions:
        label = prediction['label']
        if label in summary:
            summary[label] += 1
        else:
            summary[label] = 1

    result_string = "In this image, there are "
    for i, (label, count) in enumerate(summary.items()):
        count_string = p.number_to_words(count)
        result_string += f"{count_string} {label}"
        if count > 1:
          result_string += "s"

        result_string += " "

        if i == len(summary) - 2:
          result_string += "and "

    # Remove the trailing comma and space
    result_string = result_string.rstrip(', ') + "."

    return result_string