import csv

def load_word_database(database_filename):
    with open(database_filename, mode='r', encoding='utf-8') as database_file:
        return set(word.strip().lower() for word in database_file)

def check_generated_conversation_for_words(csv_filename, word_database):
    with open(csv_filename, mode='r', newline='', encoding='utf-8') as csv_file:
        csv_reader = csv.DictReader(csv_file)
        words = []
        for row in csv_reader:
            generated_conversation = row.get('Generated Conversation', '').lower()
            words.extend(word for word in generated_conversation.split() if word in word_database)
        save_words_to_csv(words)

def save_words_to_csv(words):
    output_csv_filename = "text.csv"
    with open(output_csv_filename, mode='w', newline='', encoding='utf-8') as output_csv_file:
        csv_writer = csv.writer(output_csv_file)
        csv_writer.writerows([[word] for word in words])

def main():
    database_filename = 'word_database.txt'
    csv_filename = 'info.csv'  # Replace with your CSV file

    word_database = load_word_database(database_filename)
    check_generated_conversation_for_words(csv_filename, word_database)

if __name__ == "__main__":
    main()