import requests
from spacy.lang.en import English
from spacy.matcher import PhraseMatcher
from spacy.tokens import Doc, Span, Token

class RESTCountriesComponent(object):
    name = 'countries'
    def __init__(self, nlp, label='GPE'):
        self.countries = [u'MyCountry', u'MyOtherCountry']
        self.label = nlp.vocab.strings[label]
        patterns = [nlp(c) for c in self.countries]
        self.matcher = PhraseMatcher(nlp.vocab)
        self.matcher.add('COUNTRIES', None, *patterns)
    def __call__(self, doc):
        matches = self.matcher(doc)
        spans = []
        for _, start, end in matches:
            entity = Span(doc, start, end, label=self.label)
            spans.append(entity)
        doc.ents = list(doc.ents) + spans
        for span in spans:
            span.merge()
        return doc

nlp = English()
rest_countries = RESTCountriesComponent(nlp)
nlp.add_pipe(rest_countries)
nlp.to_disk('myNlp')

nlp = spacy.load('myNlp')