52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
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import random
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from typing import Union
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class MarkovBot:
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def __init__(self, text: list[list[str]]) -> None:
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self.text = text
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self.chains = {}
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self.__build_chains()
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def __build_chains(self) -> None:
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for i in range(len(self.text)):
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text = self.text[i]
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for j in range(len(text) - 1):
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current_word = text[j]
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next_word = text[j + 1]
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if current_word not in self.chains:
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self.chains[current_word] = {}
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if next_word not in self.chains[current_word]:
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self.chains[current_word][next_word] = 0
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self.chains[current_word][next_word] += 1
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def generate_text(self, word: Union[str, None] = None) -> str:
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if not word:
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current_word = random.choice(list(self.chains.keys()))
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else:
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current_word = word
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generated_text = current_word
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while current_word in self.chains:
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next_word = random.choices(
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list(self.chains[current_word].keys()),
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weights=list(self.chains[current_word].values()),
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)[0]
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generated_text += " " + next_word
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current_word = next_word
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return generated_text
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def generate_from_sentence(self, msg: Union[str, None] = None) -> str:
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if not msg:
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word = random.choice(list(self.chains.keys()))
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else:
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word = random.choice(msg.split())
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if (for_word := self.generate_text(word)) != word:
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return for_word
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else:
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return self.generate_text()
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