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| import textwrap | |
| import unicodedata | |
| import re | |
| import zlib | |
| from typing import Iterator, TextIO | |
| def exact_div(x, y): | |
| assert x % y == 0 | |
| return x // y | |
| def str2bool(string): | |
| str2val = {"True": True, "False": False} | |
| if string in str2val: | |
| return str2val[string] | |
| else: | |
| raise ValueError(f"Expected one of {set(str2val.keys())}, got {string}") | |
| def optional_int(string): | |
| return None if string == "None" else int(string) | |
| def optional_float(string): | |
| return None if string == "None" else float(string) | |
| def compression_ratio(text) -> float: | |
| return len(text) / len(zlib.compress(text.encode("utf-8"))) | |
| def format_timestamp(seconds: float, always_include_hours: bool = False, fractionalSeperator: str = '.'): | |
| assert seconds >= 0, "non-negative timestamp expected" | |
| milliseconds = round(seconds * 1000.0) | |
| hours = milliseconds // 3_600_000 | |
| milliseconds -= hours * 3_600_000 | |
| minutes = milliseconds // 60_000 | |
| milliseconds -= minutes * 60_000 | |
| seconds = milliseconds // 1_000 | |
| milliseconds -= seconds * 1_000 | |
| hours_marker = f"{hours:02d}:" if always_include_hours or hours > 0 else "" | |
| return f"{hours_marker}{minutes:02d}:{seconds:02d}{fractionalSeperator}{milliseconds:03d}" | |
| def write_txt(transcript: Iterator[dict], file: TextIO): | |
| for segment in transcript: | |
| print(segment['text'].strip(), file=file, flush=True) | |
| def write_vtt(transcript: Iterator[dict], file: TextIO, maxLineWidth=None): | |
| print("WEBVTT\n", file=file) | |
| for segment in transcript: | |
| text = processText(segment['text'], maxLineWidth).replace('-->', '->') | |
| print( | |
| f"{format_timestamp(segment['start'])} --> {format_timestamp(segment['end'])}\n" | |
| f"{text}\n", | |
| file=file, | |
| flush=True, | |
| ) | |
| def write_srt(transcript: Iterator[dict], file: TextIO, maxLineWidth=None): | |
| """ | |
| Write a transcript to a file in SRT format. | |
| Example usage: | |
| from pathlib import Path | |
| from whisper.utils import write_srt | |
| result = transcribe(model, audio_path, temperature=temperature, **args) | |
| # save SRT | |
| audio_basename = Path(audio_path).stem | |
| with open(Path(output_dir) / (audio_basename + ".srt"), "w", encoding="utf-8") as srt: | |
| write_srt(result["segments"], file=srt) | |
| """ | |
| for i, segment in enumerate(transcript, start=1): | |
| text = processText(segment['text'].strip(), maxLineWidth).replace('-->', '->') | |
| # write srt lines | |
| print( | |
| f"{i}\n" | |
| f"{format_timestamp(segment['start'], always_include_hours=True, fractionalSeperator=',')} --> " | |
| f"{format_timestamp(segment['end'], always_include_hours=True, fractionalSeperator=',')}\n" | |
| f"{text}\n", | |
| file=file, | |
| flush=True, | |
| ) | |
| def processText(text: str, maxLineWidth=None): | |
| if (maxLineWidth is None or maxLineWidth < 0): | |
| return text | |
| lines = textwrap.wrap(text, width=maxLineWidth, tabsize=4) | |
| return '\n'.join(lines) | |
| def slugify(value, allow_unicode=False): | |
| """ | |
| Taken from https://github.com/django/django/blob/master/django/utils/text.py | |
| Convert to ASCII if 'allow_unicode' is False. Convert spaces or repeated | |
| dashes to single dashes. Remove characters that aren't alphanumerics, | |
| underscores, or hyphens. Convert to lowercase. Also strip leading and | |
| trailing whitespace, dashes, and underscores. | |
| """ | |
| value = str(value) | |
| if allow_unicode: | |
| value = unicodedata.normalize('NFKC', value) | |
| else: | |
| value = unicodedata.normalize('NFKD', value).encode('ascii', 'ignore').decode('ascii') | |
| value = re.sub(r'[^\w\s-]', '', value.lower()) | |
| return re.sub(r'[-\s]+', '-', value).strip('-_') |