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Merge branch 'main' of https://huggingface.co/spaces/aadnk/whisper-webui into main
Browse files- src/vad.py +6 -1
- src/whisper/fasterWhisperContainer.py +3 -1
src/vad.py
CHANGED
@@ -205,11 +205,16 @@ class AbstractTranscription(ABC):
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print("Running whisper from ", format_timestamp(segment_start), " to ", format_timestamp(segment_end), ", duration: ",
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segment_duration, "expanded: ", segment_expand_amount, "prompt: ", segment_prompt, "language: ", detected_language)
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-
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scaled_progress_listener = SubTaskProgressListener(progressListener, base_task_total=progress_total_duration,
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sub_task_start=segment_start - progress_start_offset, sub_task_total=segment_duration)
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segment_result = whisperCallable.invoke(segment_audio, segment_index, segment_prompt, detected_language, progress_listener=scaled_progress_listener)
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adjusted_segments = self.adjust_timestamp(segment_result["segments"], adjust_seconds=segment_start, max_source_time=segment_duration)
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# Propagate expand amount to the segments
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print("Running whisper from ", format_timestamp(segment_start), " to ", format_timestamp(segment_end), ", duration: ",
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segment_duration, "expanded: ", segment_expand_amount, "prompt: ", segment_prompt, "language: ", detected_language)
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perf_start_time = time.perf_counter()
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scaled_progress_listener = SubTaskProgressListener(progressListener, base_task_total=progress_total_duration,
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sub_task_start=segment_start - progress_start_offset, sub_task_total=segment_duration)
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segment_result = whisperCallable.invoke(segment_audio, segment_index, segment_prompt, detected_language, progress_listener=scaled_progress_listener)
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perf_end_time = time.perf_counter()
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print("Whisper took {} seconds".format(perf_end_time - perf_start_time))
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adjusted_segments = self.adjust_timestamp(segment_result["segments"], adjust_seconds=segment_start, max_source_time=segment_duration)
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# Propagate expand amount to the segments
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src/whisper/fasterWhisperContainer.py
CHANGED
@@ -7,6 +7,7 @@ from src.hooks.progressListener import ProgressListener
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from src.languages import get_language_from_name
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from src.modelCache import ModelCache
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from src.whisper.abstractWhisperContainer import AbstractWhisperCallback, AbstractWhisperContainer
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class FasterWhisperContainer(AbstractWhisperContainer):
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def __init__(self, model_name: str, device: str = None, compute_type: str = "float16",
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@@ -138,7 +139,8 @@ class FasterWhisperCallback(AbstractWhisperCallback):
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if progress_listener is not None:
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progress_listener.on_progress(segment.end, info.duration)
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if verbose:
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print(segment.
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text = " ".join([segment.text for segment in segments])
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from src.languages import get_language_from_name
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from src.modelCache import ModelCache
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from src.whisper.abstractWhisperContainer import AbstractWhisperCallback, AbstractWhisperContainer
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from src.utils import format_timestamp
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class FasterWhisperContainer(AbstractWhisperContainer):
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def __init__(self, model_name: str, device: str = None, compute_type: str = "float16",
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if progress_listener is not None:
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progress_listener.on_progress(segment.end, info.duration)
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if verbose:
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print("[{}->{}] {}".format(format_timestamp(segment.start, True), format_timestamp(segment.end, True),
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segment.text))
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text = " ".join([segment.text for segment in segments])
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