def match_rhyme(stem, verse_model):
# Check if rhymes exist
try:
ls = rhyme_finder(stem, tokenized_text)
except KeyError:
return None
if not ls:
return None
# If rhymes exist generate lines
for n in range(100):
while True:
rhyme_line = verse_model.make_sentence() #make random sentence with proper syntax and semantics from verse model
if rhyme_line is not None:
# Keep syllables within range
syl_count = sylco(rhyme_line)
if syl_count > 16 or syl_count < 6:
continue
# Get stem of rhyme_line
rhyme_stem = clean(rhyme_line.rsplit(None, 1)[-1])
# Check for rhyme
if rhyme_stem in ls:
return rhyme_line
break
return None
def build_rhyme_dict(self, sentence):
try:
rhymes_dict = {}
last_word = sentence.rsplit()[-1]
last_word = self.remove_punctuation(last_word)
rhymes_dict = {'line': sentence,
'last_word' : last_word,
'rhymes': [last_word] + rhyme_finder(last_word, self.tokenized_text)
}
return rhymes_dict
except Exception as e:
pass
return None
def match_rhyme(stem, model, text):
try:
ls = rhyme_finder(stem, text)
except KeyError:
return None
if not ls:
return None
for n in range(100):
while True:
rhyme_line = model.make_sentence()
if rhyme_line is not None:
rhyme_stem = clean(rhyme_line.rsplit(None, 1)[-1])
if rhyme_stem in ls:
return rhyme_line
break
return None