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| """Narration for the launch trailer (Nora Vale, Mission Control). Writes public/launch-vo/*.mp3 + durations.json. | |
| Run from backend/ (uses its ElevenLabs client and .env), then run make_launch_music.py: | |
| cd backend && PYTHONPATH=. .venv/Scripts/python ../renderer/scripts/make_launch_vo.py | |
| """ | |
| import json | |
| import uuid | |
| from pathlib import Path | |
| from app.services import tts | |
| OUT = Path(__file__).resolve().parents[1] / "public" / "launch-vo" | |
| OUT.mkdir(parents=True, exist_ok=True) | |
| LINES = { | |
| "intro": "Every writer carries a universe of ideas. Most of it... still uncharted.", | |
| "launch": "So we built a ship. Let's go exploring.", | |
| "sources": "First stop: your sources. Any blog, newsletter, website, or markdown file, pulled into orbit.", | |
| "research": "Ask your archive anything. Every answer is traced to the exact lines you wrote.", | |
| "map": "Chart the constellations in your thinking. See what's rising, and what has gone dark.", | |
| "voice": "Teach it your voice, so everything it makes still sounds like you.", | |
| "audio": "Turn any notebook into a two host audio overview.", | |
| "video": "Shorts, explainers, audiograms and quote cards, all rendered from your own words.", | |
| "launchkit": "One post becomes a thread, a LinkedIn post, notes, an SEO pack and a carousel.", | |
| "launchpad": "Schedule everything, and post straight to X, LinkedIn and Bluesky.", | |
| "resurface": "And your best old posts? We bring them back into orbit.", | |
| "outro": "Notestack A.I. The galaxies of your untapped potential. Coming soon.", | |
| } | |
| voice_id = next(v["voice_id"] for v in tts.list_voices() if v["name"].startswith("Nora Vale")) | |
| # A touch more energy than the landing demo: this one is a trailer. | |
| vs = tts.VoiceSettings(stability=0.5, similarity_boost=0.8, style=0.35, speed=0.95) | |
| ws = uuid.UUID(int=0) | |
| keys = list(LINES) | |
| durations = {} | |
| for i, key in enumerate(keys): | |
| prev_text = LINES[keys[i - 1]] if i else None | |
| next_text = LINES[keys[i + 1]] if i + 1 < len(keys) else None | |
| clip = tts.synthesize(ws, LINES[key], voice_id, vs, prev_text, next_text) | |
| (OUT / f"{key}.mp3").write_bytes(clip) | |
| durations[key] = round(tts.mp3_seconds(clip), 2) | |
| (OUT / "durations.json").write_text(json.dumps(durations, indent=2)) | |
| print(json.dumps(durations)) | |