import re
def highlight_common_words(common_words, sentences, title):
color_map = {}
highlighted_html = []
for idx, sentence in enumerate(sentences, start=1):
highlighted_sentence = f"{idx}. {sentence}"
for index, word in common_words:
if word not in color_map:
# Assign color using HSL for better visual distinction
color_map[word] = f'hsl({(len(color_map) % 6) * 60}, 70%, 80%)'
# Create a regex pattern for the word
escaped_word = re.escape(word)
pattern = rf'\b{escaped_word}\b'
color = color_map[word]
# Use a lambda function for word highlighting
highlighted_sentence = re.sub(
pattern,
lambda m: (f''
f'{index}'
f'{m.group(0)}'
''),
highlighted_sentence,
flags=re.IGNORECASE
)
highlighted_html.append(highlighted_sentence)
# Construct the final HTML output
return generate_html(title, highlighted_html)
def highlight_common_words_dict(common_words, sentences, title):
color_map = {}
highlighted_html = []
for idx, (sentence, score) in enumerate(sentences.items(), start=1):
highlighted_sentence = f"{idx}. {sentence}"
for index, word in common_words:
if word not in color_map:
color_map[word] = f'hsl({(len(color_map) % 6) * 60}, 70%, 80%)'
escaped_word = re.escape(word)
pattern = rf'\b{escaped_word}\b'
color = color_map[word]
highlighted_sentence = re.sub(
pattern,
lambda m: (f''
f'{index}'
f'{m.group(0)}'
''),
highlighted_sentence,
flags=re.IGNORECASE
)
highlighted_html.append(
f'