Generate poetry recitation videos using a cloned voice or system voice with starry background and Chinese subtitles. Use when: (1) User asks to recite a poem...
--- name: poetry-recitation description: > Generate poetry recitation videos using a cloned voice or system voice with starry background and Chinese subtitles. Use when: (1) User asks to recite a poem, (2) User says "朗诵", "诗朗诵", "读一首诗", (3) User wants a video with voice + subtitles for any poem or literary text. NOT for: AI-generated video backgrounds, music generation, or non-poetry text-to-speech. --- # Poetry Recitation Generate a video: voice recitation + starry background + timed Chinese subtitles. ## Prerequisites - TTS pipeline at `~/.openclaw/skills/tts-gen-pipeline/` with at least one cloned voice - Dependencies: `dashscope`, `websockets`, `moviepy`, `pillow`, `numpy` - Font: NotoSerifCJK at `/usr/share/fonts/opentype/noto/NotoSerifCJK-Regular.ttc` ## Quick Start ```bash python3 scripts/poetry_recitation.py --poem "床前明月光\n疑是地上霜" --title "静夜思" # or specify a voice: python3 scripts/poetry_recitation.py --poem "..." --title "静夜思" --voice 章彦博 ``` ## Arguments | Arg | Required | Description | |-----|----------|-------------| | `--poem` | Yes | Poem text, use `\n` for line breaks | | `--title` | No | Title displayed at top of video | | `--voice` | No | Voice name: cloned voice (e.g. 章彦博) or system voice (cherry/serena/ethan/chelsie). Default: first cloned voice | | `--output` | No | Output video path (default: `~/workspace/audio/<title>_朗诵.mp4`) | ## Available Voices **Cloned voices:** Check with `python3 ~/.openclaw/skills/tts-gen-pipeline/scripts/generate.py list-local` **System voices:** cherry (甜美女声), serena (温柔女声), ethan (沉稳男声), chelsie (磁性男声) ## Workflow 1. Accept poem text from user (and optional `--voice` preference) 2. Run `poetry_recitation.py` with the poem 3. Send the resulting video to user via MEDIA path — no extra confirmation needed ## Voice Resolution - If `--voice` matches a local cloned voice name → uses cloned voice model - If `--voice` matches a system voice name → uses system voice model - If not specified → uses first available cloned voice ## Output Generated video (1920x1080, 24fps, H.264 + AAC) saved to `~/workspace/audio/`.
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