7569cdc3225e7ef60a6110cec63e4d5d0c15413d
Real bug, not user error: Gradio refuses to serve a file back to the browser unless it lives under the app's own directory, the system temp dir, or an explicit allowlist. Every character's reference audio lives in the-service-station repo, a completely different path, so selecting *any* character in the Characters tab threw gradio.exceptions.InvalidPathError server-side (visible in the server log, not surfaced usefully in the browser's generic error toast). Fixed with launch(allowed_paths=[SERVICE_STATION_DIR]), the documented fix for this exact error. Also: the character dropdowns choices were fixed at server-start time, so a character created earlier in the same running session did not show up without manually clicking Refresh. Added a demo.load() hook to refresh both dropdowns automatically on page load, in addition to keeping the manual Refresh button for mid-session use without a full reload. Co-Authored-By: Claude Sonnet 5 <[email protected]> Claude-Session: https://claude.ai/code/session_01Y1oQ4h4WE4R9KRvMQLr5Ey
audio-demo
Audio processing demos: WhisperX, Demucs, and TTS technology proofs-of-concept.
Structure
whisperx/— speech-to-text with word-level alignment and diarizationdemucs/— source separation (vocals/instrumentals stem splitting)tts/— text-to-speech service demos (voice cloning via MOSS-TTS)auk/— voice editing demos (emotion/pitch/speed/content editing on existing recordings, as opposed totts/'s clone-and-generate approach)webui/— interactive pipeline studio chaining demucs -> AuK -> MOSS-TTS with previews
Each subdirectory has its own README with setup and run instructions.
Requirements
Some demos are GPU-accelerated and are best run on a CUDA-capable machine (e.g. an RTX 3090).
Planned: full audio-translation demo
Chain the three demos together on media-files/ into an end-to-end pipeline:
demucs— separate the source clip into vocals / instrumental stemswhisperx— transcribe the isolated vocal stem, then machine-translate the transcripttts— clone the original speaker's voice (from the isolated vocal stem) and synthesize the translated text in that voice, then remix with the original instrumental stem
Stem separation and transcription are already working end to end (see demucs/README.md and
whisperx/README.md); translation and voice-cloning TTS are not yet implemented.
Description
Audio processing demos: WhisperX, Demucs, and TTS technology proofs-of-concept.
60 MiB
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Python
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