import spacy
from neuroner import NeuroNER
import load_parameters
model_folder = '../trained_models/conll_2003_en'
init_dataset_folder = '../data/example_unannotated_texts'
arguments = load_parameters.parse_arguments(
pretrained_model_folder=model_folder, init_dataset=init_dataset_folder)
nn = NeuroNER(**arguments)
spacy_nlp = spacy.load('en')
#this function can be repeated several times to depoy as a service without loading the model and core_nlp again
def predict(text):
return nn.new_predict(text, spacy_nlp)