SYMBOL INDEX (56 symbols across 3 files)

FILE: kittentts/get_model.py
  class KittenTTS (line 7) | class KittenTTS:
    method __init__ (line 10) | def __init__(self, model_name="KittenML/kitten-tts-nano-0.8", cache_di...
    method generate (line 26) | def generate(self, text, voice="expr-voice-5-m", speed=1.0, clean_text...
    method generate_to_file (line 40) | def generate_to_file(self, text, output_path, voice="expr-voice-5-m", ...
    method available_voices (line 53) | def available_voices(self):
  function download_from_huggingface (line 58) | def download_from_huggingface(repo_id="KittenML/kitten-tts-nano-0.1", ca...
  function get_model (line 101) | def get_model(repo_id="KittenML/kitten-tts-nano-0.1", cache_dir=None):

FILE: kittentts/onnx_model.py
  function basic_english_tokenize (line 8) | def basic_english_tokenize(text):
  function ensure_punctuation (line 14) | def ensure_punctuation(text):
  function chunk_text (line 24) | def chunk_text(text, max_len=400):
  class TextCleaner (line 55) | class TextCleaner:
    method __init__ (line 56) | def __init__(self, dummy=None):
    method __call__ (line 70) | def __call__(self, text):
  class KittenTTS_1_Onnx (line 80) | class KittenTTS_1_Onnx:
    method __init__ (line 81) | def __init__(self, model_path="kitten_tts_nano_preview.onnx", voices_p...
    method _prepare_inputs (line 108) | def _prepare_inputs(self, text: str, voice: str, speed: float = 1.0) -...
    method generate (line 142) | def generate(self, text: str, voice: str = "expr-voice-5-m", speed: fl...
    method generate_single_chunk (line 150) | def generate_single_chunk(self, text: str, voice: str = "expr-voice-5-...
    method generate_to_file (line 170) | def generate_to_file(self, text: str, output_path: str, voice: str = "...

FILE: kittentts/preprocess.py
  function _three_digits_to_words (line 44) | def _three_digits_to_words(n: int) -> str:
  function number_to_words (line 63) | def number_to_words(n: int) -> str:
  function float_to_words (line 101) | def float_to_words(value, decimal_sep: str = "point") -> str:
  function roman_to_int (line 130) | def roman_to_int(s: str) -> int:
  function _ordinal_suffix (line 203) | def _ordinal_suffix(n: int) -> str:
  function expand_ordinals (line 231) | def expand_ordinals(text: str) -> str:
  function expand_percentages (line 247) | def expand_percentages(text: str) -> str:
  function expand_currency (line 264) | def expand_currency(text: str) -> str:
  function expand_time (line 306) | def expand_time(text: str) -> str:
  function expand_ranges (line 330) | def expand_ranges(text: str) -> str:
  function expand_model_names (line 346) | def expand_model_names(text: str) -> str:
  function expand_units (line 362) | def expand_units(text: str) -> str:
  function expand_roman_numerals (line 391) | def expand_roman_numerals(text: str, context_words: bool = True) -> str:
  function normalize_leading_decimals (line 431) | def normalize_leading_decimals(text: str) -> str:
  function expand_scientific_notation (line 444) | def expand_scientific_notation(text: str) -> str:
  function expand_scale_suffixes (line 463) | def expand_scale_suffixes(text: str) -> str:
  function expand_fractions (line 485) | def expand_fractions(text: str) -> str:
  function expand_decades (line 514) | def expand_decades(text: str) -> str:
  function expand_ip_addresses (line 541) | def expand_ip_addresses(text: str) -> str:
  function expand_phone_numbers (line 561) | def expand_phone_numbers(text: str) -> str:
  function replace_numbers (line 596) | def replace_numbers(text: str, replace_floats: bool = True) -> str:
  function to_lowercase (line 618) | def to_lowercase(text: str) -> str:
  function remove_urls (line 623) | def remove_urls(text: str, replacement: str = "") -> str:
  function remove_emails (line 628) | def remove_emails(text: str, replacement: str = "") -> str:
  function remove_html_tags (line 633) | def remove_html_tags(text: str) -> str:
  function remove_hashtags (line 638) | def remove_hashtags(text: str, replacement: str = "") -> str:
  function remove_mentions (line 643) | def remove_mentions(text: str, replacement: str = "") -> str:
  function remove_punctuation (line 648) | def remove_punctuation(text: str) -> str:
  function remove_extra_whitespace (line 653) | def remove_extra_whitespace(text: str) -> str:
  function normalize_unicode (line 658) | def normalize_unicode(text: str, form: str = "NFC") -> str:
  function remove_accents (line 663) | def remove_accents(text: str) -> str:
  function expand_contractions (line 669) | def expand_contractions(text: str) -> str:
  function remove_stopwords (line 697) | def remove_stopwords(text: str, stopwords: Optional[set] = None) -> str:
  class TextPreprocessor (line 721) | class TextPreprocessor:
    method __init__ (line 737) | def __init__(
    method __call__ (line 773) | def __call__(self, text: str) -> str:
    method process (line 776) | def process(self, text: str) -> str: