from typing import List, Tuple

import pandas as pd
from examples.common import NLP
from textacy.extract.keyterms.sgrank import sgrank as keywords


def process(text: str) -> pd.DataFrame:
    doc = NLP(text)
    terms: List[Tuple[str, float]] = keywords(doc, topn=10)
    term_set = [t for t, _ in terms]
    return pd.DataFrame([{"Keyphrase": term, "Probability": prob}
                         for term, prob in terms
                         if all(other == term or term not in other for other in term_set)])