From 3142cf0fb34353547a8db9ab333fa979804dcaf9 Mon Sep 17 00:00:00 2001 From: Tyler Hallada Date: Tue, 14 Jul 2015 00:03:05 -0400 Subject: [PATCH] progress, haiku, and shakespeare --- generate_poem.py | 77 ++++++++++++++++++++++++++++++++++++++++-------- 1 file changed, 65 insertions(+), 12 deletions(-) diff --git a/generate_poem.py b/generate_poem.py index 60f07bc..40e71f5 100644 --- a/generate_poem.py +++ b/generate_poem.py @@ -1,26 +1,79 @@ import nltk import random -from stat_parser import Parser +import re +from textstat.textstat import textstat +#from stat_parser import Parser class PoemGenerator(): def __init__(self, corpus): - self.sents = corpus.sents('austen-emma.txt') - self.bigrams = list(nltk.bigrams(corpus.words('austen-emma.txt'))) + #self.sents = corpus.sents('austen-emma.txt') + self.bigrams = list(nltk.bigrams(corpus.words('shakespeare-hamlet.txt'))) + self.only_punctuation = re.compile(r'[^\w\s]+$') + self.all_words = [bigram[0] for bigram in self.bigrams + if not self.only_punctuation.match(bigram[0])] self.cfd = nltk.ConditionalFreqDist(self.bigrams) - self.parser = Parser() + #self.parser = Parser() self.history = [] - def generate_poem(self): - sent = random.choice(self.sents) - parsed = self.parser.parse(' '.join(sent)) - word = random.choice(self.bigrams)[0] - for i in range(15): + def markov(self, word, n): + if n > 0: print word, - for gram in self.cfd[word].items(): - import ipdb; ipdb.set_trace() # BREAKPOINT + n = n - 1 + self.markov(random.choice(self.cfd[word].items())[0], n) + else: + print '' + + def generate_poem(self): + #sent = random.choice(self.sents) + #parsed = self.parser.parse(' '.join(sent)) + word = random.choice(self.bigrams)[0] + self.markov(word, 15) + + def haiku_line(self, line, current_syllables, next_words, + target_syllables): + if next_words == []: + # this branch failed + return None + else: + word = random.choice(next_words) + new_line = line[:] + new_line.append(word) + new_syllables = textstat.syllable_count(' '.join(new_line)) + if new_syllables == target_syllables: + return new_line + elif new_syllables > target_syllables: + new_next_words = next_words[:] + new_next_words.remove(word) + return self.haiku_line(line, current_syllables, new_next_words, + target_syllables) + else: + new_next_words = [freq[0] for freq in self.cfd[word].items() + if not self.only_punctuation.match(freq[0])] + branch = self.haiku_line(new_line, new_syllables, new_next_words, + target_syllables) + if branch: + return branch + else: + new_next_words = next_words[:] + new_next_words.remove(word) + return self.haiku_line(line, current_syllables, new_next_words, + target_syllables) + + def generate_haiku(self): + first = self.haiku_line([], 0, self.all_words, 5) + print ' '.join(first) + next_words = [freq[0] for freq in self.cfd[first[-1]].items() + if not self.only_punctuation.match(freq[0])] + second = self.haiku_line([], 0, next_words, 7) + print ' '.join(second) + next_words = [freq[0] for freq in self.cfd[first[-1]].items() + if not self.only_punctuation.match(freq[0])] + third = self.haiku_line([], 0, next_words, 5) + print ' '.join(third) if __name__ == '__main__': generator = PoemGenerator(nltk.corpus.gutenberg) - print generator.generate_poem() + #generator.generate_poem() + generator.generate_haiku()