from flair.data import Sentence
from flair.nn import Classifier
from flair.tokenization import SciSpacyTokenizer

text = "The upstream region of the glnA gene contained two putative extended promoter consensus sequences (p1 and p2)."
sentence = Sentence(text, use_tokenizer=SciSpacyTokenizer())

tagger = Classifier.load("regel-corpus/hunflair2-regel-promoter")
tagger.predict(sentence)

print('The following NER tags are found:')
# iterate over entities and print
for entity in sentence.get_spans('ner'):
    print(entity)