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Ignore linting as this file is a copy from faster_whisper

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Signed-off-by: makaveli10 <suryanvineet47@gmail.com>
This commit is contained in:
makaveli10
2024-05-27 22:10:14 +05:30
parent 8f373c3537
commit 225a98be0c
1 changed files with 4 additions and 4 deletions
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whisper_live/transcriber.py
+4 -4
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@@ -423,7 +423,7 @@ class WhisperModel:
return segments, info
def generate_segments(
def generate_segments( # noqa: C901
self,
features: np.ndarray,
tokenizer: Tokenizer,
@@ -496,7 +496,7 @@ class WhisperModel:
content_frames - seek,
seek_clip_end - seek,
)
segment = features[:, seek : seek + segment_size]
segment = features[:, seek : seek + segment_size] # noqa: E203
segment_duration = segment_size * self.feature_extractor.time_per_frame
segment = pad_or_trim(segment, self.feature_extractor.nb_max_frames)
@@ -685,7 +685,7 @@ class WhisperModel:
continue
if is_segment_anomaly(segment):
next_segment = next_words_segment(
current_segments[si + 1 :]
current_segments[si + 1 :] # noqa: E203
)
if next_segment is not None:
hal_next_start = next_segment["words"][0]["start"]
@@ -909,7 +909,7 @@ class WhisperModel:
if previous_tokens:
prompt.append(tokenizer.sot_prev)
prompt.extend(previous_tokens[-(self.max_length // 2 - 1) :])
prompt.extend(previous_tokens[-(self.max_length // 2 - 1) :]) # noqa: E203
prompt.extend(tokenizer.sot_sequence)