Fixing Qwen3.5 bug and adding Outetts dependencies (#4459)
* Fixing Qwen3.5 bug and adding Outetts dependencies * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Apply suggestion from @danielhanchen --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Daniel Han <danielhanchen@gmail.com>
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2 changed files with 7 additions and 3 deletions
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@ -26,8 +26,9 @@ omegaconf
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einx
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pyloudnorm
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openai-whisper
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# uroman # 4.0 MB - romanization, no imports found
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# MeCab # 19.9 MB - Japanese tokenizer, no imports found
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uroman # 4.0 MB - used for Outetts.
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MeCab # 19.9 MB - used for Outetts.
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inflect # number-to-words, required by OuteTTS
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loguru
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flatten_dict
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ffmpy
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@ -630,7 +630,10 @@ _AUDIO_TOKEN_PATTERNS = {
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"whisper": lambda tokens: "<|startoftranscript|>" in tokens,
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"audio_vlm": lambda tokens: "<audio_soft_token>" in tokens,
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"bicodec": lambda tokens: any(t.startswith("<|bicodec_") for t in tokens),
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"dac": lambda tokens: "<|audio_start|>" in tokens and "<|audio_end|>" in tokens,
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"dac": lambda tokens: "<|audio_start|>" in tokens
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and "<|audio_end|>" in tokens
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and "<|text_start|>" in tokens
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and "<|text_end|>" in tokens,
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"snac": lambda tokens: sum(1 for t in tokens if t.startswith("<custom_token_"))
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> 10000,
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}
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