]:
print("Lara : Good bye see you soon ;)")
break
#get ansewers from lara bot
bot_input = lara.get_response(question)
if (bot_input.text == "I am sorry, but I do not understand."):
print("Lara :", bot_input.text)
print(
"Lara: Could you please suggest a response for your question here")
proposition = input("Your proposition :")
new_response = Statement(proposition, in_response_to=question)
new_response.search_text = lara.storage.tagger.get_bigram_pair_string(
proposition.lower())
new_response.conversation = str('training')
new_response.search_in_response_to = lara.storage.tagger.get_bigram_pair_string(
question.lower())
lara.learn_response(new_response)
#conn = sqlite3.connect("db.sqlite3")
"""
Once we have a Connection object, we can then create a Cursor object.
Cursors allow us to execute SQL queries against a database.
"""
#df = pd.read_sql_query("select * from statement;", conn)
#print(df.shape)
#df.loc[len(df)] = [len(df)+1, question,question,"training","",question,proposition, ""]
#df["conversation"].loc[df.in_response_to == question] = "training"
#df["search_in_response_to"].loc[df.in_response_to == question] = question
