justinandClaude Opus 5
e802d86196
The narration said the changed file's "only other copy is in last night's
backup". That is false, and it gives away the argument the demo exists to
make: Zerto has a copy from seconds before the change. That is the whole
point.
d5 now draws the contrast instead of conceding it. Backup has last night,
hours old. Zerto has seconds before the change.
d2 had the same problem in a quieter form, asserting there was "no other
copy of that file anywhere" while Zerto was already protecting the machine.
Cut, since d5 carries the comparison.
Also fixes the pronunciation map that made the voice say "vem". The
replace map takes a phrase and a pronunciation, so {"VM": "vee em"} is
spoken as one run-together word. Expanded to "virtual machine".
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_016yVfC5nvZowoLFnEGWhLGn
36 lines
1.9 KiB
Python
36 lines
1.9 KiB
Python
"""Parse the approved markdown script into clips + durations."""
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import json, os, re, subprocess, sys
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from pathlib import Path
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SP = Path(__file__).parent
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SRC = Path(os.environ.get("NARRATION_MD", SP.parent / "narration.md"))
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KEY = Path(os.environ.get("XAI_KEY_FILE", "~/xai-api.key")).expanduser().read_text().strip()
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VOICE = os.environ.get("XAI_VOICE_ID", "") # a custom voice id from /v1/custom-voices
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SPEED = float(sys.argv[1]) if len(sys.argv) > 1 else 1.0
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beats = re.findall(r"\[([id]\d+)\]\s*(.*?)(?=\n\n|\Z)", SRC.read_text(), re.S)
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lines = {k: " ".join(v.split()) for k, v in beats}
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(SP / "narration.json").write_text(json.dumps(lines, indent=2) + "\n")
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# Do NOT map an acronym to run-together phonetics: {"VM": "vee em"} is spoken
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# as one word, "vem". Expand it instead, or leave it alone.
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REPLACE = {"VM": "virtual machine"}
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out = {}
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for key, text in lines.items():
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body = {"text": text, "voice_id": VOICE, "language": "en", "speed": SPEED,
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"replace": REPLACE, "output_format": {"codec": "wav", "sample_rate": 24000}}
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req = SP / "req.json"; req.write_text(json.dumps(body))
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dest = SP / f"{key}.wav"
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code = subprocess.run(["curl", "-sS", "-o", str(dest), "-w", "%{http_code}", "-X", "POST",
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"https://api.x.ai/v1/tts", "-H", f"Authorization: Bearer {KEY}",
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"-H", "Content-Type: application/json", "--data-binary", f"@{req}"],
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capture_output=True, text=True).stdout.strip()
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req.unlink()
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if code != "200":
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print(f" {key}: HTTP {code} FAILED"); sys.exit(1)
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d = float(subprocess.run(["ffprobe", "-v", "error", "-show_entries", "format=duration",
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"-of", "default=nw=1:nk=1", str(dest)], capture_output=True, text=True).stdout.strip())
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out[key] = round(d, 2)
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print(f" {key:5} {d:5.2f}s {len(text.split()):3} words")
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(SP / "durations.json").write_text(json.dumps(out, indent=1))
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print(f"\n {len(out)} clips, {sum(out.values()):.1f}s of narration")
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