Create Extractive.py

Summarizer/Extractive.py

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+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_