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bazarr/libs/pysubs2/whisper.py

53 lines
1.6 KiB

"""
Support for the OpenAI Whisper speech recognition library.
See https://github.com/openai/whisper
"""
from .ssaevent import SSAEvent
from .ssafile import SSAFile
from .time import make_time
from typing import Union, List, Dict, Any
def load_from_whisper(result_or_segments: Union[Dict[str, Any], List[Dict[str, Any]]]) -> SSAFile:
"""
Load subtitle file from OpenAI Whisper transcript
Example:
>>> import whisper
>>> import pysubs2
>>> model = whisper.load_model("base")
>>> result = model.transcribe("audio.mp3")
>>> subs = pysubs2.load_from_whisper(result)
>>> subs.save("audio.ass")
See also:
https://github.com/openai/whisper
Arguments:
result_or_segments: Either a dict with a ``"segments"`` key
that holds a list of segment dicts, or the segment list-of-dicts.
Each segment is a dict with keys ``"start"``, ``"end"`` (float, timestamps
in seconds) and ``"text"`` (str with caption text).
Returns:
:class:`pysubs2.SSAFile`
"""
if isinstance(result_or_segments, dict):
segments = result_or_segments["segments"]
elif isinstance(result_or_segments, list):
segments = result_or_segments
else:
raise TypeError("Expected either a dict with 'segments' key, or a list of segments")
subs = SSAFile()
for segment in segments:
event = SSAEvent(start=make_time(s=segment["start"]), end=make_time(s=segment["end"]))
event.plaintext = segment["text"].strip()
subs.append(event)
return subs