steve-adminandClaude Sonnet 5
c137fbae0c
Edits emotion on an existing recording in place (same speaker, words, duration) rather than steering style at generation time. Demo runs "Change the emotion to excited." on the public-domain narrator clip already used by whisperx/tts. Found and documented three real environment/packaging gaps on the RTX 3090: a missing audioread dependency, a huggingface_hub/transformers version conflict from installing the hf CLI, and --cpu_offload being mandatory (not optional) since AuK's own undoffloaded VRAM figures exceed 24GB entirely. Also found the practical input-length ceiling is ~25-30s, not the several minutes a podcast episode would need — an 80s clip OOM'd on attention memory even with offload enabled. Co-Authored-By: Claude Sonnet 5 <[email protected]> Claude-Session: https://claude.ai/code/session_01Y1oQ4h4WE4R9KRvMQLr5Ey
40 lines
618 B
Plaintext
40 lines
618 B
Plaintext
.env
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# Python
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__pycache__/
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*.pyc
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.venv/
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venv/
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# Model weights / large artifacts
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*.pt
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*.ckpt
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*.bin
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*.safetensors
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models/
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weights/
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ckpts/
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# Audio I/O scratch
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*.wav
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*.mp3
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*.flac
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output/
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outputs/
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# OS/editor
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.DS_Store
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.idea/
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.vscode/
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# Full-size source video — keep locally, commit only compressed derivatives
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media-files/video/*.mp4
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!media-files/video/*-480p.mp4
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# Compressed exports of demucs stems — keep committed for review without
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# local playback (the raw separated/*.wav stems stay local, per *.wav above)
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!demucs/*.mp3
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# Small public-domain demo evidence clip for the auk voice-editing demo
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!auk/*.wav
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