Generates headlines about a specific topic such as the coronavirus

generate_topical_headlines.py

total = 25
topic = ['coronavirus', 'covid19', 'covid-19', 'sars-cov-2', 'sarscov2', 'sars-cov2', 'virus', 'pandemic']
generated_headlines = []

while len(generated_headlines) < total:
    headline = model.make_sentence()
    if headline is not None:
        on_topic = bool([word for word in headline.split(' ') if word.lower() in topic])
        if on_topic:
            generated_headlines.append(headline)