generated from Labyricorn/labyricorn-project-template
rebrand: rename VoiceBox to TalkBox throughout codebase
CI / frontend-quality (push) Canceled after 0s
CI / frontend-quality (push) Canceled after 0s
- All 'voicebox'/'Voicebox'/'VOICEBOX' strings replaced with 'talkbox'/'TalkBox'/'TALKBOX' - Port changed from 17493 to 17494 (avoids conflict with upstream VoiceBox) - MCP tool namespace: voicebox.* -> talkbox.* - App bundle ID: sh.voicebox.app -> com.talkbox.app - Binary names: voicebox-server -> talkbox-server, voicebox-mcp -> talkbox-mcp - Docker user/group: voicebox -> talkbox - Database: voicebox.db -> talkbox.db - Env vars: VOICEBOX_* -> TALKBOX_* - Asset files renamed: voicebox-logo.* -> talkbox-logo.*, etc. - External binaries in tauri.conf.json updated to talkbox-server/talkbox-mcp
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@@ -15,7 +15,7 @@ Usage:
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python backend/tests/test_refinement_samples.py
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# Hit a non-default port (auto-detected via /health probe when omitted):
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python backend/tests/test_refinement_samples.py --port 17493
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python backend/tests/test_refinement_samples.py --port 17494
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# Only test one model size:
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python backend/tests/test_refinement_samples.py --model 4B
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@@ -316,7 +316,7 @@ def score(sample: Sample, model: str, refined: str, latency_ms: int) -> Scorecar
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# ── Runner ────────────────────────────────────────────────────────────
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DEFAULT_PORTS = (8000, 8765, 8899, 17493)
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DEFAULT_PORTS = (8000, 8765, 8899, 17494)
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def detect_backend_port(hint: Optional[int]) -> int:
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@@ -339,7 +339,7 @@ def detect_backend_port(hint: Optional[int]) -> int:
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except Exception:
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continue
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raise SystemExit(
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"No running Voicebox backend found. Start it (`python backend/main.py`) "
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"No running TalkBox backend found. Start it (`python backend/main.py`) "
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f"or pass --port. Tried: {candidates}"
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)
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@@ -407,7 +407,7 @@ def format_report(cards: list[Scorecard]) -> str:
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def main() -> int:
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ap = argparse.ArgumentParser(description=__doc__)
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ap.add_argument("--port", type=int, default=None,
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help="Voicebox backend port (auto-detected if omitted)")
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help="TalkBox backend port (auto-detected if omitted)")
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ap.add_argument("--model", choices=("0.6B", "1.7B", "4B"), action="append",
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help="Refinement model size(s) to test (repeat to run several)")
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ap.add_argument("--json", type=Path, default=None,
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