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add progress bar for transcribe loop (#100)
* add progress bar to transcribe loop * improved warning message for English-only models * add --condition_on_previous_text * progressbar renames Co-authored-by: Jong Wook Kim <jongwook@nyu.edu>
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@ -5,6 +5,7 @@ from typing import List, Optional, Tuple, Union, TYPE_CHECKING
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import numpy as np
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import torch
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import tqdm
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from .audio import SAMPLE_RATE, N_FRAMES, HOP_LENGTH, pad_or_trim, log_mel_spectrogram
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from .decoding import DecodingOptions, DecodingResult
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@ -87,7 +88,7 @@ def transcribe(
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segment = pad_or_trim(mel, N_FRAMES).to(model.device).to(dtype)
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_, probs = model.detect_language(segment)
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decode_options["language"] = max(probs, key=probs.get)
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print(f"Detected language: {LANGUAGES[decode_options['language']]}")
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print(f"Detected language: {LANGUAGES[decode_options['language']].title()}")
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mel = mel.unsqueeze(0)
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language = decode_options["language"]
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@ -160,7 +161,12 @@ def transcribe(
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if verbose:
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print(f"[{format_timestamp(start)} --> {format_timestamp(end)}] {text}")
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while seek < mel.shape[-1]:
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# show the progress bar when verbose is False (otherwise the transcribed text will be printed)
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num_frames = mel.shape[-1]
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previous_seek_value = seek
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with tqdm.tqdm(total=num_frames, unit='frames', disable=verbose) as pbar:
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while seek < num_frames:
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timestamp_offset = float(seek * HOP_LENGTH / SAMPLE_RATE)
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segment = pad_or_trim(mel[:, :, seek:], N_FRAMES).to(model.device).to(dtype)
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segment_duration = segment.shape[-1] * HOP_LENGTH / SAMPLE_RATE
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@ -227,6 +233,10 @@ def transcribe(
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# do not feed the prompt tokens if a high temperature was used
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prompt_reset_since = len(all_tokens)
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# update progress bar
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pbar.update(min(num_frames, seek) - previous_seek_value)
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previous_seek_value = seek
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return dict(text=tokenizer.decode(all_tokens), segments=all_segments, language=language)
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