import spacy

def clean_up_sentence(text: str) -> str:
    text = text.replace("---", "")
    text = text.replace("\n", " ")
    text = text.strip()
    if not text.endswith(('.', '!', '?', ":")):
        # Since we are breaking a longer text into sentences ourselves, we should always end a sentence with a period.
        text = text + "."
    return text

sentence_splitter = spacy.load("en_core_web_sm")
spacy_document = sentence_splitter("This is a long text. It has two or more sentence. Spacy will break it down into sentences.")
results = []
for sentence in spacy_document.sents:
    clean_text = clean_up_sentence(str(sentence))
    classification = grammar_checker(clean_text)[0]
    results.append({
        "label": classification['label'],
        "score": classification['score'],
        "sentence": clean_text
    })
pd.DataFrame.from_dict(results)