from chatterbot import ChatBot
from sys import stdin, stderr, stdout, argv
import nltk.data


text = stdin.read()

sent_detector = nltk.data.load('tokenizers/punkt/english.pickle')
sentences = sent_detector.tokenize(text.strip())

ns = []

chatbot = ChatBot(
    'Ron Obvious',
    trainer='chatterbot.trainers.ChatterBotCorpusTrainer',
    output_format="text"
)

# Train based on the english corpus
chatbot.train("chatterbot.corpus.english")

for sen in sentences:
    # Get a response to an input statement
    response=chatbot.get_response(sen)
    ns.append(sen)
    ns.append(response.text)


file = open(argv[1],'w')

file.write("\n".join(ns))

file.close()