How to use the alephclient.services.entityextract_pb2_grpc.EntityExtractServicer function in alephclient

'I-PER': ExtractedEntity.PERSON,
    'I-ORG': ExtractedEntity.ORGANIZATION,
    'I-LOC': ExtractedEntity.LOCATION
}

# https://spacy.io/api/annotation#named-entities
SPACY_TYPES = {
    'PER': ExtractedEntity.PERSON,
    'PERSON': ExtractedEntity.PERSON,
    'ORG': ExtractedEntity.ORGANIZATION,
    'LOC': ExtractedEntity.LOCATION,
    'GPE': ExtractedEntity.LOCATION
}


class EntityServicer(EntityExtractServicer):

    def __init__(self):
        log.info("Loading spaCy model xx...")
        self.spacy = spacy.load('xx')

    def extract_polyglot(self, text):
        try:
            parsed = Text(text)
            lang = parsed.language
            if lang.confidence > 90:
                yield self.make_entity(lang.code,
                                       ExtractedEntity.LANGUAGE,
                                       0, len(text))
            if lang.code not in POLYGLOT_LANGUAGES:
                return
            for entity in parsed.entities:

from alephclient.services.entityextract_pb2_grpc import EntityExtractServicer  # noqa
from alephclient.services.entityextract_pb2 import ExtractedEntity  # noqa

log = logging.getLogger('service')
LANGUAGES = ['en', 'de', 'es', 'pt', 'fr', 'it', 'nl']

# https://spacy.io/api/annotation#named-entities
LABELS = {
    'PERSON': 'PERSON',
    'NORP': 'ORGANIZATION',
    'ORG': 'ORGANIZATION',
    'GPE': 'LOCATION'
}


class SpacyServicer(EntityExtractServicer):
    MODELS = {}

    def Extract(self, request, context):
        text = request.text
        if text is None or not len(text.strip()):
            return

        for language in request.languages:
            if language not in LANGUAGES:
                log.debug("Language not suported: %s", language)
                continue
            if language not in self.MODELS:
                log.info("Loading spaCy model: %s", language)
                self.MODELS[language] = spacy.load(language)
            nlp = self.MODELS.get(language)
            try:

#     'I-PER': ExtractedEntity.PERSON,
#     'I-ORG': ExtractedEntity.ORGANIZATION,
#     'I-LOC': ExtractedEntity.LOCATION
# }

# https://spacy.io/api/annotation#named-entities
SPACY_TYPES = {
    'PER': ExtractedEntity.PERSON,
    'PERSON': ExtractedEntity.PERSON,
    'ORG': ExtractedEntity.ORGANIZATION,
    'LOC': ExtractedEntity.LOCATION,
    'GPE': ExtractedEntity.LOCATION
}


class EntityServicer(EntityExtractServicer):

    def __init__(self):
        log.info("Loading spaCy model xx...")
        self.spacy = spacy.load('xx')

    # def extract_polyglot(self, text):
    #     try:
    #         parsed = Text(text)
    #         lang = parsed.language
    #         if lang.confidence > 90:
    #             yield self.make_entity(lang.code,
    #                                    ExtractedEntity.LANGUAGE,
    #                                    0, len(text))
    #         if lang.code not in POLYGLOT_LANGUAGES:
    #             return
    #         for ent in parsed.entities: