57 lines
929 B
Python
57 lines
929 B
Python
acts_list = {'hello': 'welcomemsg'}
|
|
|
|
|
|
class Act_frame:
|
|
text = ''
|
|
act = []
|
|
|
|
|
|
class Dialogue_state_frame:
|
|
user_history = []
|
|
system_history = []
|
|
|
|
|
|
def NLU(text):
|
|
user_frame = Act_frame()
|
|
user_frame.text = text
|
|
if text == 'Cześć, jak masz na imię?':
|
|
user_frame.act = 'hello'
|
|
else:
|
|
pass
|
|
return user_frame
|
|
|
|
|
|
def DST(user_frame):
|
|
dialogue_frame = Dialogue_state_frame()
|
|
dialogue_frame.user_history.append((user_frame.text, user_frame.act))
|
|
# ...
|
|
return dialogue_frame
|
|
|
|
|
|
def DP(dialogue_frame):
|
|
system_frame = Act_frame()
|
|
system_frame.act = acts_list[dialogue_frame.user_history[-1][1]]
|
|
return system_frame
|
|
|
|
|
|
def NLG(system_frame):
|
|
answer = ''
|
|
if system_frame.act == 'welcomemsg':
|
|
answer = 'Witaj, nazywam się Usher'
|
|
else:
|
|
pass
|
|
return answer
|
|
|
|
|
|
text = 'Cześć, jak masz na imię?'
|
|
print(NLG(DP(DST(NLU(text)))))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|