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93 lines
2.8 KiB
93 lines
2.8 KiB
# MIT License, Copyright (c) 2022 OpenAI.
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# Copyright (c) 2022 PaddlePaddle Authors and . All Rights Reserved.
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#
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# Modified from OpenAI Whisper 2022 (https://github.com/openai/whisper/whisper/utils.py)
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import zlib
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from typing import Iterator
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from typing import TextIO
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def exact_div(x, y):
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assert x % y == 0
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return x // y
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def str2bool(string):
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str2val = {"True": True, "False": False}
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if string in str2val:
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return str2val[string]
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else:
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raise ValueError(f"Expected one of {set(str2val.keys())}, got {string}")
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def optional_int(string):
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return None if string == "None" else int(string)
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def optional_float(string):
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return None if string == "None" else float(string)
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def compression_ratio(text) -> float:
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return len(text) / len(zlib.compress(text.encode("utf-8")))
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def format_timestamp(seconds: float,
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always_include_hours: bool=False,
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decimal_marker: str='.'):
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assert seconds >= 0, "non-negative timestamp expected"
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milliseconds = round(seconds * 1000.0)
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hours = milliseconds // 3_600_000
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milliseconds -= hours * 3_600_000
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minutes = milliseconds // 60_000
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milliseconds -= minutes * 60_000
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seconds = milliseconds // 1_000
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milliseconds -= seconds * 1_000
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hours_marker = f"{hours:02d}:" if always_include_hours or hours > 0 else ""
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return f"{hours_marker}{minutes:02d}:{seconds:02d}{decimal_marker}{milliseconds:03d}"
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def write_txt(transcript: Iterator[dict], file: TextIO):
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for segment in transcript:
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print(segment['text'].strip(), file=file, flush=True)
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def write_vtt(transcript: Iterator[dict], file: TextIO):
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print("WEBVTT\n", file=file)
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for segment in transcript:
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print(
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f"{format_timestamp(segment['start'])} --> {format_timestamp(segment['end'])}\n"
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f"{segment['text'].strip().replace('-->', '->')}\n",
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file=file,
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flush=True, )
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def write_srt(transcript: Iterator[dict], file: TextIO):
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"""
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Write a transcript to a file in SRT format.
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Example usage:
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from pathlib import Path
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from whisper.utils import write_srt
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result = transcribe(model, audio_path, temperature=temperature, **args)
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# save SRT
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audio_basename = Path(audio_path).stem
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with open(Path(output_dir) / (audio_basename + ".srt"), "w", encoding="utf-8") as srt:
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write_srt(result["segments"], file=srt)
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"""
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for i, segment in enumerate(transcript, start=1):
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# write srt lines
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print(
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f"{i}\n"
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f"{format_timestamp(segment['start'], always_include_hours=True, decimal_marker=',')} --> "
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f"{format_timestamp(segment['end'], always_include_hours=True, decimal_marker=',')}\n"
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f"{segment['text'].strip().replace('-->', '->')}\n",
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file=file,
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flush=True, )
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