Add pipeline studio web UI (demucs -> AuK -> MOSS-TTS)

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
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# webui
A pipeline studio: strip a voice with **demucs**, edit it with **AuK** (emotion, pitch, speed,
free-form instructions — with preview and undo/reset), then generate new speech in that voice
with **MOSS-TTS**.
## Why this exists
Manually chaining demucs → AuK → MOSS-TTS across three separate venvs (via SSH one-off scripts)
worked but made it slow to experiment — especially with AuK's pitch/emotion controls, where you
really want to preview a result and back out if it's wrong (see the pitch-overshoot findings in
`auk/README.md`) rather than committing to a specific edit blind.
## Architecture
A single lightweight Gradio app (`app.py`) that **shells out** to each tool's own isolated venv
via subprocess, rather than merging their dependencies into one environment — MOSS-TTS pins
`transformers==5.0.0`, AuK needs `4.57.6`; they can't coexist in one venv. This app's own venv
only needs `gradio` itself.
Each stage's output becomes the next stage's input by filesystem path; a `history` list backs
the undo/reset buttons in the voice editor.
## Setup
```bash
python3 -m venv .venv && . .venv/bin/activate
pip install gradio
```
Assumes `demucs/`, `auk/`, and `tts/` (siblings in this repo) already have their own working
venvs and, for `auk/`, downloaded model weights — see their READMEs.
## Running
```bash
python3 app.py
```
Serves on `0.0.0.0:7860`. The app automatically calls ComfyUI's `/free` endpoint (if its queue
is empty) before each heavy step, to reduce GPU contention on a shared box — see the DNS/routing
and GPU-contention notes earlier in this project's history for why that matters here.
## Known limitations (inherited from the underlying tools)
- **AuK's real usable clip length is ~25-30s**, not several minutes — feeding it a long recording
will OOM even with `--cpu_offload` (see `auk/README.md`). This app doesn't chunk long inputs
automatically; keep reference clips short.
- **AuK's pitch-editing instruction-following is unreliable** — even "1 semitone" has measured
out at ~4+ semitones of actual shift in testing. The UI surfaces a warning; preview before
trusting a pitch edit.
- Each stage is a blocking subprocess call (model load + inference each time) — the UI will
appear to hang for anywhere from ~10s to a couple of minutes per click, with no progress bar
yet.
- No queueing/locking across browser tabs or concurrent users — this is a single-GPU box, so two
simultaneous generations will contend for VRAM.
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"""
Pipeline studio: Demucs (strip) -> AuK (edit voice, with preview/undo) ->
MOSS-TTS (generate speech in the edited voice).
Orchestrates across the three existing isolated venvs (demucs/, auk/, tts/)
via subprocess, rather than merging their conflicting dependencies
(MOSS-TTS needs transformers 5.0.0, AuK needs 4.57.6) into one environment.
Run with: webui/.venv/bin/python webui/app.py
"""
import json
import os
import subprocess
import tempfile
import time
import urllib.error
import urllib.request
from pathlib import Path
import gradio as gr
REPO_ROOT = Path(__file__).resolve().parent.parent
DEMUCS_DIR = REPO_ROOT / "demucs"
AUK_DIR = REPO_ROOT / "auk"
TTS_DIR = REPO_ROOT / "tts"
DEMUCS_PYTHON = DEMUCS_DIR / ".venv" / "bin" / "python3"
AUK_INFER = AUK_DIR / ".venv" / "bin" / "auk-infer"
AUK_CKPT = AUK_DIR / "ckpts" / "AuK" / "auk_base.safetensors"
AUK_QWEN_PATH = AUK_DIR / "ckpts" / "Qwen2.5-Omni-3B"
TTS_PYTHON = TTS_DIR / ".venv" / "bin" / "python3"
TTS_GENERATE = TTS_DIR / "generate.py"
WORKDIR = Path(tempfile.mkdtemp(prefix="audio-demo-webui-"))
EMOTIONS = ["happy", "angry", "sad", "fearful", "surprised", "disgusted", "calm", "excited"]
PITCH_OPTIONS = ["-3", "-2", "-1", "+1", "+2", "+3"]
SPEED_OPTIONS = ["0.5", "0.75", "1.25", "1.5", "2.0"]
LANGUAGES = [
"English", "Spanish", "French", "German", "Portuguese", "Italian",
"Chinese", "Japanese", "Korean", "Russian",
]
COMFYUI_BASE = "http://localhost:8188"
def _comfyui_queue_empty() -> bool:
try:
with urllib.request.urlopen(f"{COMFYUI_BASE}/queue", timeout=3) as resp:
data = json.loads(resp.read())
return not data.get("queue_running") and not data.get("queue_pending")
except (urllib.error.URLError, OSError):
return True # ComfyUI not reachable -> nothing to worry about
def _free_comfyui_memory() -> None:
if not _comfyui_queue_empty():
return
try:
req = urllib.request.Request(
f"{COMFYUI_BASE}/free",
data=json.dumps({"unload_models": True, "free_memory": True}).encode(),
headers={"Content-Type": "application/json"},
method="POST",
)
urllib.request.urlopen(req, timeout=5)
except (urllib.error.URLError, OSError):
pass
def _run(cmd: list[str], cwd: Path, env: dict | None = None) -> None:
result = subprocess.run(
cmd, cwd=cwd, env=env, capture_output=True, text=True, timeout=1800
)
if result.returncode != 0:
tail = "\n".join(result.stderr.strip().splitlines()[-25:])
raise gr.Error(f"Command failed ({cmd[0]}):\n{tail}")
def _ld_library_path_for_venv(venv_dir: Path) -> str:
site_packages = next(venv_dir.glob(".venv/lib/python*/site-packages"))
nvidia_dir = site_packages / "nvidia"
if not nvidia_dir.is_dir():
return ""
lib_dirs = sorted(p for p in nvidia_dir.glob("*/lib") if p.is_dir())
return ":".join(str(p) for p in lib_dirs)
TTS_LD_LIBRARY_PATH = _ld_library_path_for_venv(TTS_DIR)
# ---------------------------------------------------------------------------
# Stage 1: input / demucs stripping
# ---------------------------------------------------------------------------
def strip_vocals(input_audio: str):
if not input_audio:
raise gr.Error("Upload or record some audio first.")
_free_comfyui_memory()
out_dir = WORKDIR / f"demucs_{int(time.time())}"
out_dir.mkdir(parents=True, exist_ok=True)
_run(
[
str(DEMUCS_PYTHON), "-m", "demucs",
"--two-stems=vocals", "-n", "htdemucs",
"-o", str(out_dir), input_audio,
],
cwd=DEMUCS_DIR,
)
stem_name = Path(input_audio).stem
vocals = out_dir / "htdemucs" / stem_name / "vocals.wav"
no_vocals = out_dir / "htdemucs" / stem_name / "no_vocals.wav"
return str(vocals), str(no_vocals)
# ---------------------------------------------------------------------------
# Stage 2: AuK voice editing, with history for undo/reset
# ---------------------------------------------------------------------------
def use_as_reference(audio_path: str, history: list):
if not audio_path:
raise gr.Error("No audio to use yet.")
history = [audio_path]
return audio_path, history, _history_label(history)
def _history_label(history: list) -> str:
if not history:
return "No reference set yet."
return f"Edit history: {len(history) - 1} edit(s) applied on top of the original reference."
def apply_edit(current_ref: str, history: list, emotion: str, pitch: str, speed: str, custom_instruction: str):
if not current_ref:
raise gr.Error("Set a voice reference first (upload, strip with Demucs, or use a previous edit).")
instructions = []
if emotion and emotion != "none":
instructions.append(f"Change the emotion to {emotion}.")
if pitch and pitch != "none":
direction = "Raise" if pitch.startswith("+") else "Lower"
instructions.append(f"{direction} the pitch by {pitch.lstrip('+-')} semitone(s).")
if speed and speed != "none":
instructions.append(f"Adjust the speech speed to {speed}x.")
if custom_instruction and custom_instruction.strip():
instructions.append(custom_instruction.strip())
if not instructions:
raise gr.Error("Pick at least one edit (emotion / pitch / speed / custom instruction).")
_free_comfyui_memory()
ref = current_ref
out_dir = WORKDIR / f"auk_{int(time.time())}"
out_dir.mkdir(parents=True, exist_ok=True)
for i, instruction in enumerate(instructions):
out_path = out_dir / f"edit_{i}.wav"
cmd = [
str(AUK_INFER),
"--ckpt", str(AUK_CKPT),
"--qwen_path", str(AUK_QWEN_PATH),
"--audio", ref,
"--instruction", instruction,
"--output", str(out_path),
"--cpu_offload",
]
_run(cmd, cwd=AUK_DIR)
ref = str(out_path)
history = history + [ref]
return ref, history, _history_label(history)
def undo_edit(history: list):
if len(history) <= 1:
raise gr.Error("Nothing to undo.")
history = history[:-1]
return history[-1], history, _history_label(history)
def reset_to_original(history: list):
if not history:
raise gr.Error("No reference set yet.")
history = [history[0]]
return history[0], history, _history_label(history)
# ---------------------------------------------------------------------------
# Stage 3: MOSS-TTS generation
# ---------------------------------------------------------------------------
def generate_speech(reference: str, text: str, language: str):
if not reference:
raise gr.Error("Set a voice reference first (upload, strip, and/or edit it above).")
if not text or not text.strip():
raise gr.Error("Enter some text to synthesize.")
_free_comfyui_memory()
out_path = WORKDIR / f"tts_{int(time.time())}.wav"
env = None
if TTS_LD_LIBRARY_PATH:
env = os.environ.copy()
env["LD_LIBRARY_PATH"] = TTS_LD_LIBRARY_PATH
_run(
[
str(TTS_PYTHON), str(TTS_GENERATE),
"--text", text,
"--reference", reference,
"--language", language,
"--output", str(out_path),
],
cwd=TTS_DIR,
env=env,
)
return str(out_path)
# ---------------------------------------------------------------------------
# UI
# ---------------------------------------------------------------------------
with gr.Blocks(title="Audio-demo pipeline studio") as demo:
gr.Markdown(
"# Pipeline studio\n"
"Strip a voice with **Demucs**, edit it with **AuK**, then generate new "
"speech in that voice with **MOSS-TTS**. Each stage shells out to its own "
"isolated venv, so this box's GPU is the real constraint — heavy edits "
"(long clips) can OOM AuK; keep reference clips short (under ~25s)."
)
reference_state = gr.State(None)
history_state = gr.State([])
with gr.Row():
with gr.Column():
gr.Markdown("## 1. Input")
input_audio = gr.Audio(label="Upload or record", type="filepath")
strip_btn = gr.Button("Strip vocals with Demucs")
with gr.Row():
vocals_out = gr.Audio(label="Vocals (isolated)", type="filepath")
no_vocals_out = gr.Audio(label="Background (no vocals)", type="filepath")
with gr.Row():
use_vocals_btn = gr.Button("Use vocals as reference")
use_no_vocals_btn = gr.Button("Use background as reference")
use_original_btn = gr.Button("Use uploaded audio as-is")
with gr.Column():
gr.Markdown("## 2. Voice editor (AuK)")
current_ref_audio = gr.Audio(label="Current reference", type="filepath", interactive=False)
history_label = gr.Markdown("No reference set yet.")
emotion_dd = gr.Dropdown(["none"] + EMOTIONS, value="none", label="Emotion")
pitch_dd = gr.Dropdown(["none"] + PITCH_OPTIONS, value="none", label="Pitch (semitones)")
speed_dd = gr.Dropdown(["none"] + SPEED_OPTIONS, value="none", label="Speed")
custom_instruction = gr.Textbox(
label="Custom instruction (advanced, optional)",
placeholder='e.g. "Lower the pitch very slightly."',
)
gr.Markdown(
"*Note: pitch editing has been unreliable in testing — even "
"\"1 semitone\" has overshot to ~4+ semitones on some voices. "
"Preview before committing.*"
)
apply_btn = gr.Button("Apply edit(s)", variant="primary")
with gr.Row():
undo_btn = gr.Button("Undo last edit")
reset_btn = gr.Button("Reset to original")
with gr.Column():
gr.Markdown("## 3. Generate (MOSS-TTS)")
gen_text = gr.Textbox(label="Text to speak", lines=6)
gen_language = gr.Dropdown(LANGUAGES, value="English", label="Language")
generate_btn = gr.Button("Generate speech", variant="primary")
generated_audio = gr.Audio(label="Generated speech", type="filepath")
strip_btn.click(strip_vocals, inputs=[input_audio], outputs=[vocals_out, no_vocals_out])
use_vocals_btn.click(
use_as_reference, inputs=[vocals_out, history_state],
outputs=[current_ref_audio, history_state, history_label],
)
use_no_vocals_btn.click(
use_as_reference, inputs=[no_vocals_out, history_state],
outputs=[current_ref_audio, history_state, history_label],
)
use_original_btn.click(
use_as_reference, inputs=[input_audio, history_state],
outputs=[current_ref_audio, history_state, history_label],
)
apply_btn.click(
apply_edit,
inputs=[current_ref_audio, history_state, emotion_dd, pitch_dd, speed_dd, custom_instruction],
outputs=[current_ref_audio, history_state, history_label],
)
undo_btn.click(
undo_edit, inputs=[history_state],
outputs=[current_ref_audio, history_state, history_label],
)
reset_btn.click(
reset_to_original, inputs=[history_state],
outputs=[current_ref_audio, history_state, history_label],
)
generate_btn.click(
generate_speech, inputs=[current_ref_audio, gen_text, gen_language],
outputs=[generated_audio],
)
if __name__ == "__main__":
demo.launch(server_name="0.0.0.0", server_port=7860)