| import nltk | |
| from sumy.parsers.plaintext import PlaintextParser | |
| from sumy.summarizers.luhn import LuhnSummarizer | |
| from sumy.nlp.tokenizers import Tokenizer | |
| nltk.download('punkt') | |
| def summarize(file, SENTENCES_COUNT): | |
| sumarizer = LuhnSummarizer() | |
| with open(file.name) as f: | |
| doc = f.read() | |
| sentences_ = [] | |
| doc_ = PlaintextParser(doc, Tokenizer("en")).document | |
| for sentence in sumarizer(doc_, SENTENCES_COUNT): | |
| sentences_.append(str(sentence)) | |
| summm_ = " ".join(sentences_) | |
| return summm_ |