Markovify - Markov chain : Seed and Condition to text generated based in input.

[wsricardo]

How can I condition the text generation given a previous input.

Example: After creating the model, I pass a 'seed' (a small string) so that the generated sentence is a response based on the text considering a 'seed' given by the user.

I tried to use the 'make_sentence' function passing a string and a list of strings but I got the error below

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/user/studyvenv/lib/python3.10/site-packages/markovify/text.py", line 231, in make_sentence
    words = prefix + self.chain.walk(init_state)
  File "/home/user/studyvenv/lib/python3.10/site-packages/markovify/chain.py", line 142, in walk
    return list(self.gen(init_state))
  File "/home/user/studyvenv/lib/python3.10/site-packages/markovify/chain.py", line 130, in gen
    next_word = self.move(state)
  File "/home/user/studyvenv/lib/python3.10/site-packages/markovify/chain.py", line 116, in move
    choices, weights = zip(*self.model[state].items())
KeyError: ('Hi.', 'How are you')