steve-adminandClaude Sonnet 5
e5233433b5
Gradio app that orchestrates the three existing isolated venvs via subprocess (their dependencies conflict too much to merge into one environment - MOSS-TTS needs transformers 5.0.0, AuK needs 4.57.6). Lets you strip a voice, iteratively edit it (emotion/pitch/speed/custom instruction) with preview and undo/reset after each step, then generate new speech in the resulting voice - addressing the trial-and-error workflow the pitch-overshoot investigation needed. Also extracts tts/generate.py as a reusable, general-purpose MOSS-TTS cloning CLI (text/reference/language/output args) rather than one-off personal scripts. Verified all three stages end to end via direct function calls before wiring up the UI. Co-Authored-By: Claude Sonnet 5 <[email protected]> Claude-Session: https://claude.ai/code/session_01Y1oQ4h4WE4R9KRvMQLr5Ey
57 lines
2.4 KiB
Markdown
57 lines
2.4 KiB
Markdown
# webui
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A pipeline studio: strip a voice with **demucs**, edit it with **AuK** (emotion, pitch, speed,
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free-form instructions — with preview and undo/reset), then generate new speech in that voice
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with **MOSS-TTS**.
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## Why this exists
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Manually chaining demucs → AuK → MOSS-TTS across three separate venvs (via SSH one-off scripts)
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worked but made it slow to experiment — especially with AuK's pitch/emotion controls, where you
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really want to preview a result and back out if it's wrong (see the pitch-overshoot findings in
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`auk/README.md`) rather than committing to a specific edit blind.
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## Architecture
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A single lightweight Gradio app (`app.py`) that **shells out** to each tool's own isolated venv
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via subprocess, rather than merging their dependencies into one environment — MOSS-TTS pins
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`transformers==5.0.0`, AuK needs `4.57.6`; they can't coexist in one venv. This app's own venv
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only needs `gradio` itself.
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Each stage's output becomes the next stage's input by filesystem path; a `history` list backs
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the undo/reset buttons in the voice editor.
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## Setup
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```bash
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python3 -m venv .venv && . .venv/bin/activate
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pip install gradio
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```
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Assumes `demucs/`, `auk/`, and `tts/` (siblings in this repo) already have their own working
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venvs and, for `auk/`, downloaded model weights — see their READMEs.
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## Running
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```bash
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python3 app.py
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```
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Serves on `0.0.0.0:7860`. The app automatically calls ComfyUI's `/free` endpoint (if its queue
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is empty) before each heavy step, to reduce GPU contention on a shared box — see the DNS/routing
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and GPU-contention notes earlier in this project's history for why that matters here.
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## Known limitations (inherited from the underlying tools)
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- **AuK's real usable clip length is ~25-30s**, not several minutes — feeding it a long recording
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will OOM even with `--cpu_offload` (see `auk/README.md`). This app doesn't chunk long inputs
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automatically; keep reference clips short.
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- **AuK's pitch-editing instruction-following is unreliable** — even "1 semitone" has measured
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out at ~4+ semitones of actual shift in testing. The UI surfaces a warning; preview before
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trusting a pitch edit.
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- Each stage is a blocking subprocess call (model load + inference each time) — the UI will
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appear to hang for anywhere from ~10s to a couple of minutes per click, with no progress bar
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yet.
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- No queueing/locking across browser tabs or concurrent users — this is a single-GPU box, so two
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simultaneous generations will contend for VRAM.
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