fix(dashboard): stop infinite mock loop; add demo-mode warning banner
--dashboard defaulted to looping mock STT forever, so the status page piled up thousands of fake "conversations" (all mock, 0ms, same reply) that looked like real traffic. Now it plays 3 sample utterances then idles; a loud 데모 모드 banner states the turns are mock samples, not real STT/Brain/TTS. Continuous demo moved behind --dashboard-loop-demo. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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@@ -130,12 +130,15 @@ ffmpeg 디코드 → 프레임. DAVE는 `@snazzah/davey`(Rust NAPI), 수신은 `
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```bash
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```bash
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.venv/bin/python -m wsai --voice # 눈 없는 음성 루프 데모 (STT→두뇌→TTS, 지금 초점)
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.venv/bin/python -m wsai --voice # 눈 없는 음성 루프 데모 (STT→두뇌→TTS, 지금 초점)
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.venv/bin/python -m wsai --dashboard # 상태 사이트 + 짧은 mock 샘플 후 대기(무한 생성 안 함)
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.venv/bin/python -m wsai # mock 데모 (눈 포함 전체 흐름, 몇 프레임 돌고 종료)
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.venv/bin/python -m wsai # mock 데모 (눈 포함 전체 흐름, 몇 프레임 돌고 종료)
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.venv/bin/python -m wsai --env # WSAI_* 환경변수로 백엔드 조립
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.venv/bin/python -m wsai --env # WSAI_* 환경변수로 백엔드 조립
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.venv/bin/python -m pip install pytest && .venv/bin/python -m pytest -q # 스모크 테스트
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.venv/bin/python -m pip install pytest && .venv/bin/python -m pytest -q # 스모크 테스트
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```
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```
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- `WSAI_SOURCE=none WSAI_VISION=none` 으로도 눈 없이(음성 루프만) 조립할 수 있다.
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- `WSAI_SOURCE=none WSAI_VISION=none` 으로도 눈 없이(음성 루프만) 조립할 수 있다.
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- `--dashboard`는 기본으로 mock 발화 3개만 만든 뒤 대기한다. UI 시연용으로 계속 만들고 싶을 때만
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`--dashboard-loop-demo`를 추가한다.
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- 백엔드별 추가 설치는 `requirements.txt` 주석 참고(faster-whisper, mss/pillow, anthropic 등).
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- 백엔드별 추가 설치는 `requirements.txt` 주석 참고(faster-whisper, mss/pillow, anthropic 등).
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---
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---
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@@ -2,12 +2,13 @@
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python -m wsai # mock pipeline (no deps, no keys) — runs a demo
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python -m wsai # mock pipeline (no deps, no keys) — runs a demo
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python -m wsai --voice # eyes-free voice loop demo (STT -> Brain -> TTS)
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python -m wsai --voice # eyes-free voice loop demo (STT -> Brain -> TTS)
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python -m wsai --dashboard # live status website + a continuous voice demo
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python -m wsai --dashboard # live status website + a short voice demo, then idle
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python -m wsai --live # capture this screen + Claude eyes/brain
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python -m wsai --live # capture this screen + Claude eyes/brain
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python -m wsai --env # build from WSAI_* environment variables
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python -m wsai --env # build from WSAI_* environment variables
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The mock run is bounded (a few frames + a scripted conversation) so it exits on
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The mock run is bounded (a few frames + a scripted conversation) so it exits on
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its own; --dashboard/--live/--env run until Ctrl-C.
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its own; --dashboard keeps the site open after a short demo; --live/--env run
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until Ctrl-C.
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"""
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"""
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from __future__ import annotations
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from __future__ import annotations
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@@ -34,7 +35,14 @@ def _lan_ip() -> str:
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return "127.0.0.1"
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return "127.0.0.1"
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async def _run(settings: Settings, demo: bool, monitor: Monitor | None) -> None:
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async def _run(
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settings: Settings,
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demo: bool,
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monitor: Monitor | None,
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*,
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demo_loop: bool = False,
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keep_dashboard_open: bool = False,
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) -> None:
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if demo:
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if demo:
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# Bounded demo so CI / a quick check terminates.
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# Bounded demo so CI / a quick check terminates.
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from .backends.mock import MockFrameSource, MockSTT
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from .backends.mock import MockFrameSource, MockSTT
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@@ -43,11 +51,16 @@ async def _run(settings: Settings, demo: bool, monitor: Monitor | None) -> None:
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if pipe.source is not None: # keep eyes-free configs eyes-free
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if pipe.source is not None: # keep eyes-free configs eyes-free
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pipe.source = MockFrameSource(interval=0.3, limit=4)
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pipe.source = MockFrameSource(interval=0.3, limit=4)
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if pipe.stt is not None:
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if pipe.stt is not None:
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# When serving the dashboard, keep talking forever so there's always
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pipe.stt = MockSTT(interval=2.0 if demo_loop else 0.4, loop=demo_loop)
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# something live to watch; otherwise stay bounded so the demo exits.
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loop = monitor is not None
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pipe.stt = MockSTT(interval=2.0 if loop else 0.4, loop=loop)
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await pipe.run()
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await pipe.run()
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if keep_dashboard_open:
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# Keep the status page alive without generating fake conversations
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# forever. The previous default looped mock STT indefinitely, which
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# made the dashboard look like it had heard thousands of real users.
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if monitor is not None:
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monitor.set_status(running=True, listening=False)
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monitor.log("info", "mock 데모 완료 — 실제 음성 파이프라인 연결 대기")
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await asyncio.Event().wait()
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return
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return
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await build(settings, monitor=monitor).run()
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await build(settings, monitor=monitor).run()
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@@ -55,7 +68,9 @@ async def _run(settings: Settings, demo: bool, monitor: Monitor | None) -> None:
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def main() -> None:
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def main() -> None:
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ap = argparse.ArgumentParser(prog="wsai")
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ap = argparse.ArgumentParser(prog="wsai")
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ap.add_argument("--voice", action="store_true", help="eyes-free voice loop (STT -> Brain -> TTS)")
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ap.add_argument("--voice", action="store_true", help="eyes-free voice loop (STT -> Brain -> TTS)")
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ap.add_argument("--dashboard", action="store_true", help="serve the live status website (voice demo loops)")
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ap.add_argument("--dashboard", action="store_true", help="serve the live status website")
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ap.add_argument("--dashboard-loop-demo", action="store_true",
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help="keep generating mock demo utterances forever (off by default)")
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ap.add_argument("--live", action="store_true", help="capture screen + Claude backends")
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ap.add_argument("--live", action="store_true", help="capture screen + Claude backends")
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ap.add_argument("--env", action="store_true", help="build from WSAI_* env vars")
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ap.add_argument("--env", action="store_true", help="build from WSAI_* env vars")
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ap.add_argument("--port", type=int, default=int(os.environ.get("WSAI_DASHBOARD_PORT", "8787")),
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ap.add_argument("--port", type=int, default=int(os.environ.get("WSAI_DASHBOARD_PORT", "8787")),
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@@ -96,7 +111,15 @@ def main() -> None:
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print(f" (로컬: http://127.0.0.1:{args.port} )\n")
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print(f" (로컬: http://127.0.0.1:{args.port} )\n")
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try:
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try:
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asyncio.run(_run(settings, demo, monitor))
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asyncio.run(
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_run(
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settings,
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demo,
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monitor,
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demo_loop=args.dashboard and args.dashboard_loop_demo,
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keep_dashboard_open=args.dashboard and demo and not args.dashboard_loop_demo,
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)
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)
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except KeyboardInterrupt:
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except KeyboardInterrupt:
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pass
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pass
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finally:
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finally:
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@@ -179,6 +179,9 @@ PAGE = r"""<!DOCTYPE html>
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.ev.error{color:var(--err)}
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.ev.error{color:var(--err)}
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.ev .et{flex:0 0 68px;color:#5f7488}
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.ev .et{flex:0 0 68px;color:#5f7488}
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code{background:#0c1219;padding:1px 5px;border-radius:5px;border:1px solid var(--line)}
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code{background:#0c1219;padding:1px 5px;border-radius:5px;border:1px solid var(--line)}
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.demobar{background:#2a2210;border:1px solid #6b5417;color:var(--warn);border-radius:12px;
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padding:11px 15px;margin:0 0 16px;font-size:13px;line-height:1.55}
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.demobar b{color:#ffe08a}
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</style>
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</style>
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</head>
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</head>
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<body>
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<body>
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@@ -196,6 +199,7 @@ PAGE = r"""<!DOCTYPE html>
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</div>
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</div>
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</header>
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</header>
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<main>
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<main>
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<div class="demobar" id="demobar" style="display:none"></div>
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<div class="comp" id="comp"></div>
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<div class="comp" id="comp"></div>
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<div id="turns"></div>
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<div id="turns"></div>
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<div id="empty" class="empty">아직 대화가 없습니다. 사용자가 말하면 여기에 단계별로 나타납니다.</div>
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<div id="empty" class="empty">아직 대화가 없습니다. 사용자가 말하면 여기에 단계별로 나타납니다.</div>
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@@ -232,6 +236,18 @@ function renderStatus(s){
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$('dot').className = 'dot ' + (listening ? 'live' : 'off');
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$('dot').className = 'dot ' + (listening ? 'live' : 'off');
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$('listen').textContent = listening ? '듣는 중' : (s.running ? '실행 중 (대기)' : '중지됨');
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$('listen').textContent = listening ? '듣는 중' : (s.running ? '실행 중 (대기)' : '중지됨');
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const comps = s.components || {};
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const comps = s.components || {};
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// Demo banner: if the ears/brain/mouth are still mock, everything below is
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// replayed sample data, not a real conversation. Say so loudly.
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const mockParts = ['stt','brain','tts'].filter(k => comps[k]==='mock');
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const bar = $('demobar');
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if(mockParts.length){
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bar.style.display='block';
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bar.innerHTML = '⚠ <b>데모 모드</b> — 실제 음성/STT/두뇌/TTS가 아직 연결되지 않아, 아래 대화는 '
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+ '실제로 들은 내용이 아니라 <b>목(mock) 예시 스크립트</b>입니다. '
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+ '실제 엔진(faster-whisper·Claude·MeloTTS)을 붙이면 이 자리에 진짜 발화·지연·오류가 표시됩니다.';
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} else {
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bar.style.display='none';
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}
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const el = $('comp'); el.innerHTML = '';
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const el = $('comp'); el.innerHTML = '';
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const names = {source:'눈(소스)', vision:'시각', stt:'귀(STT)', brain:'두뇌', tts:'입(TTS)', text:'텍스트'};
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const names = {source:'눈(소스)', vision:'시각', stt:'귀(STT)', brain:'두뇌', tts:'입(TTS)', text:'텍스트'};
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for(const k of Object.keys(names)){
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for(const k of Object.keys(names)){
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