Extractive text summarization spacy

imports.py

import spacy
from spacy.lang.pt.stop_words import STOP_WORDS
from sklearn.feature_extraction.text import CountVectorizer
import pt_core_news_sm
nlp = pt_core_news_sm.load()

with open("original_text.txt", "r", encoding="utf-8") as f:
        text = " ".join(f.readlines())
        
doc = nlp(text)