removed redundant code

summarizer/coreference_handler.py

@@ -1,36 +0,0 @@
-# removed previous import and related functionality since it's just a blank language model,
-#  while neuralcoref requires passing pretrained language model via spacy.load()
-
-import neuralcoref
-import spacy
-
-from summarizer.sentence_handler import SentenceHandler
-
-
-class CoreferenceHandler(SentenceHandler):
-
-    def __init__(self, spacy_model: str = 'en_core_web_sm',
-                 greedyness: float = 0.45):
-        """
-        Corefence handler. Only works with spacy < 3.0.
-
-        :param spacy_model: The spacy model to use as default.
-        :param greedyness: The greedyness factor.
-        """
-        self.nlp = spacy.load(spacy_model)
-        neuralcoref.add_to_pipe(self.nlp, greedyness=greedyness)
-
-    def process(self, body: str, min_length: int = 40, max_length: int = 600):
-        """
-        Processes the content sentences.
-
-        :param body: The raw string body to process
-        :param min_length: Minimum length that the sentences must be
-        :param max_length: Max length that the sentences mus fall under
-        :return: Returns a list of sentences.
-        """
-        doc = self.nlp(body)._.coref_resolved
-        doc = self.nlp(doc)
-        return [c.string.strip()
-                for c in doc.sents
-                if max_length > len(c.string.strip()) > min_length]