# Create a new instance of a ChatBot
chatbot = ChatBot("Terminal", read_only=True,
storage_adapter="chatbot.adapters.storage.MongoDatabaseAdapter",
logic_adapters=[
"chatbot.adapters.logic.AttributeLogicAdapter",
"chatbot.adapters.logic.TimeLogicAdapter",
"chatbot.adapters.logic.WeatherLogicAdapter",
"chatbot.adapters.logic.MovieLogicAdapter",
"chatbot.adapters.logic.ClosestMatchAdapter"
],
io_adapter="chatbot.adapters.io.TerminalAdapter",
pyowm_api_key="cf798079c1e5c638a93cc16cff6d7171",
#user_profile="user.pkl",
database="chatterbot-database")
'''
chatbot.train("chatbot.corpus.english.overview")
chatbot.train("chatbot.corpus.english.greetings")
chatbot.train("chatbot.corpus.english.AIML.AIML_IN_JSON.atomic")
chatbot.train("chatbot.corpus.english.AIML.AIML_IN_JSON.atomic-categories0")
chatbot.train("chatbot.corpus.english.AIML.AIML_IN_JSON.knowledge")
chatbot.train("chatbot.corpus.english.AIML.AIML_IN_JSON.ai")
chatbot.train("chatbot.corpus.english.AIML.AIML_IN_JSON.astrology")
chatbot.train("chatbot.corpus.english.AIML.AIML_IN_JSON.biography")
chatbot.train("chatbot.corpus.english.AIML.AIML_IN_JSON.computers")
chatbot.train("chatbot.corpus.english.AIML.AIML_IN_JSON.emotion")
chatbot.train("chatbot.corpus.english.AIML.AIML_IN_JSON.geography")
chatbot.train("chatbot.corpus.english.AIML.AIML_IN_JSON.misc")
chatbot.train("chatbot.corpus.english.AIML.AIML_IN_JSON.music")
chatbot.train("chatbot.corpus.english.AIML.AIML_IN_JSON.politics")
chatbot.train("chatbot.corpus.english.AIML.AIML_IN_JSON.psychology")
from chatbot import ChatBot
if __name__ == '__main__':
chatbot = ChatBot('Tom')
chatbot.train([
"Hi, can I help you?", "Sure, I'd like to book a flight to Iceland.",
"Your flight has been booked."
])
chatbot = ChatBot("HiBot", read_only=False,
storage_adapter="chatbot.adapters.storage.JsonDatabaseAdapter",
#storage_adapter="chatbot.adapters.storage.MongoDatabaseAdapter",
logic_adapters=[
"chatbot.adapters.logic.AttributeLogicAdapter",
"chatbot.adapters.logic.EvaluateMathematically",
"chatbot.adapters.logic.WeatherLogicAdapter",
"chatbot.adapters.logic.TimeLogicAdapter",
"chatbot.adapters.logic.ClosestMatchAdapter"
],
pyowm_api_key="cf798079c1e5c638a93cc16cff6d7171",
database="chaerbot-database_test.db")
# Train based on the english corpus
#chatbot.train("chatterbot.corpus.english")
chatbot.train("chatbot.corpus.english.greetings")
#chatbot.train("chatbot.corpus.english.conversations")
chatbot.train("chatbot.corpus.english.trivia")
#chatbot.train("chatbot.corpus.english.AIML.AIML_IN_JSON.ai")
#chatbot.train("chatbot.corpus.english.AIML.AIML_IN_JSON.drugs")
#chatbot.train("chatbot.corpus.english.AIML.AIML_IN_JSON.sex")
#chatbot.train("chatbot.corpus.english.AIML.AIML_IN_JSON.atomic")
##chatbot.train("chatbot.corpus.english.AIML.AIML_IN_JSON.science")
#chatbot.train("chatbot.corpus.english.AIML.AIML_IN_JSON.misc")
'''
chatbot = ChatBot("HiBot", read_only=False,
#storage_adapter="chatbot.adapters.storage.JsonDatabaseAdapter",
storage_adapter="chatbot.adapters.storage.MongoDatabaseAdapter",
logic_adapters=[
"chatbot.adapters.logic.AttributeLogicAdapter",
from chatbot import ChatBot
if __name__ == '__main__':
bot = ChatBot("train")
bot.train()
from chatbot import ChatBot
import pandas as pd
'''import nltk
#baixar em models: rslp e punckt
#baixar em corpora: stopwords
nltk.download()
'''
df = pd.read_csv('./chatbot_dataset_treino.csv')
chatbot = ChatBot()
chatbot.train(df, 'Pergunta', 'Assunto')
print("####### CHATBOT Alpha 0.0.1 #######")
while True:
question = input('Pergunta: ')
answer_id = chatbot.answer(question)
full_answer = chatbot.full_answer(answer_id, 'Assunto')
print('Chatbot: ', full_answer)
