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refactor: update type hints in diarization module (PEP 585)

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Radu-Sebastian Amarie
2025-04-03 13:52:55 +00:00
committed by Barabazs
parent 1631c3040f
commit 220fec9aea
1 changed files with 3 additions and 3 deletions
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6
whisperx/diarize.py
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@ -1,7 +1,7 @@
import numpy as np
import pandas as pd
from pyannote.audio import Pipeline
from typing import Optional, Union, Tuple, Dict, List, Any
from typing import Optional, Union
import torch
from whisperx.audio import load_audio, SAMPLE_RATE
@ -27,7 +27,7 @@ class DiarizationPipeline:
min_speakers: Optional[int] = None,
max_speakers: Optional[int] = None,
return_embeddings: bool = False,
) -> Union[Tuple[pd.DataFrame, Optional[Dict[str, List[float]]]], pd.DataFrame]:
) -> Union[tuple[pd.DataFrame, Optional[dict[str, list[float]]]], pd.DataFrame]:
"""
Perform speaker diarization on audio.
@ -86,7 +86,7 @@ class DiarizationPipeline:
def assign_word_speakers(
diarize_df: pd.DataFrame,
transcript_result: Union[AlignedTranscriptionResult, TranscriptionResult],
speaker_embeddings: Optional[Dict[str, List[float]]] = None,
speaker_embeddings: Optional[dict[str, list[float]]] = None,
fill_nearest: bool = False,
) -> Union[AlignedTranscriptionResult, TranscriptionResult]:
"""