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word_stream_callback To get the ready words. #2306

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word_stream_callback To get the ready words. #2306

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9cd08df
[ADD] word_stream_callback to get the ready words for streaming to th…
erfantarighi Aug 19, 2024
7c524dd
[FIX] The docstring
erfantarighi Aug 19, 2024
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5 changes: 4 additions & 1 deletion whisper/timing.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
import subprocess
import warnings
from dataclasses import dataclass
from typing import TYPE_CHECKING, List
from typing import TYPE_CHECKING, List, Optional, Callable

import numba
import numpy as np
Expand Down Expand Up @@ -284,6 +284,7 @@ def add_word_timestamps(
prepend_punctuations: str = "\"'“¿([{-",
append_punctuations: str = "\"'.。,，!！?？:：”)]}、",
last_speech_timestamp: float,
word_stream_callback: Optional[Callable] = None,
**kwargs,
):
if len(segments) == 0:
Expand Down Expand Up @@ -327,6 +328,8 @@ def add_word_timestamps(
timing = alignment[word_index]

if timing.word:
if word_stream_callback is not None:
word_stream_callback(timing)
words.append(
dict(
word=timing.word,
Expand Down
7 changes: 6 additions & 1 deletion whisper/transcribe.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
import os
import traceback
import warnings
from typing import TYPE_CHECKING, List, Optional, Tuple, Union
from typing import TYPE_CHECKING, List, Optional, Tuple, Union, Callable

import numpy as np
import torch
Expand Down Expand Up @@ -40,6 +40,7 @@ def transcribe(
audio: Union[str, np.ndarray, torch.Tensor],
*,
verbose: Optional[bool] = None,
word_stream_callback: Optional[Callable] = None,
temperature: Union[float, Tuple[float, ...]] = (0.0, 0.2, 0.4, 0.6, 0.8, 1.0),
compression_ratio_threshold: Optional[float] = 2.4,
logprob_threshold: Optional[float] = -1.0,
Expand Down Expand Up @@ -68,6 +69,9 @@ def transcribe(
Whether to display the text being decoded to the console. If True, displays all the details,
If False, displays minimal details. If None, does not display anything

word_stream_callback: Callable
Function that receives ready words as the other voice chunks are in progress.

temperature: Union[float, Tuple[float, ...]]
Temperature for sampling. It can be a tuple of temperatures, which will be successively used
upon failures according to either `compression_ratio_threshold` or `logprob_threshold`.
Expand Down Expand Up @@ -392,6 +396,7 @@ def next_words_segment(segments: List[dict]) -> Optional[dict]:
prepend_punctuations=prepend_punctuations,
append_punctuations=append_punctuations,
last_speech_timestamp=last_speech_timestamp,
word_stream_callback=word_stream_callback
)

if not single_timestamp_ending:
Expand Down