import spacy
import neuralcoref
import re
nlp = spacy.load('en')
neuralcoref.add_to_pipe(nlp, conv_dict={'Jack Porter': ['man', 'CEO'], 'Cognizer':['company', 'organization']})

history = ""
while True:
  text = input("Enter your text.\n")
  if text != "exit":
    if not text.endswith('?') or text.endswith('.'):
      text = text + '.'
    # if text.endswith('?'):
    #   text = text.strip('?') + '.'
    history = history + text + ' '
    doc = nlp(history)
    resolved_utter = doc._.coref_resolved.split('. ')[-1]
    print(f"History: {history}")
    print(f"Query: {resolved_utter}")
  else:
    break