stopwords = []
with open('nlp/stop_words.txt', 'r', encoding='utf-8') as file:
    text = file.readlines()

# Convert stopwords to a set for faster lookup
stopword_set = set(stopwords)

def check_stopwords(text):
    """
    Check if any words from the stopwords list are present in the given text.

    Args:
        text (str): The input text to check.
        stopwords (list): A list of stopwords.

    Returns:
        bool: True if any stopword is found in the text, False otherwise.
    """
    # Normalize the text by converting it to lower case and splitting into words
    words = text.replace(' ', '').lower().split()

    # Iterate through each word and check for stopwords
    for word in words:
        if word in stopword_set:
            return True  # Stop iteration and return True if a stopword is found

    return False  # Return False if no stopwords are found