from wiktionaryparser import WiktionaryParser

def get_word_definitions(word):
    parser = WiktionaryParser()
    word_data = parser.fetch(word)

    result = ''

    if word_data:
        word_data = word_data[0]

        # Get definitions
        if 'definitions' in word_data.keys() and len(word_data['definitions'])>0:
            result += f"Definitions of '{word}':\n"
            for definition in word_data['definitions']:
                if 'text' in definition.keys():
                    result += "- " + "\n  ".join(definition['text']) + "\n"

        # Get example sentences
        if 'examples' in word_data.keys():
            result += f"\nExample sentences with '{word}':\n"
            for example in word_data['examples']:
                if 'text' in example.keys():
                    result += "- " + example['text'] + "\n"

    if len (result) < 12: return False
    else:
        openai
        return result

# Example usage
word = 'overstep the mark'
word_definitions = get_word_definitions(word)
print(word_definitions)