okooo5km/gemini-tts

記録された最新のソース活動: 2026年10月31日 03:05

SkillsMP カタログ更新: 2026年11月2日 18:02

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AI アシスタントでインストール

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Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/okooo5km/gemini-tts.

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# Gemini TTS A reusable AI-agent skill and dependency-free Python CLI for expressive speech with **Gemini 3.8 Flash TTS**, through Google's API or [OpenRouter](https://openrouter.ai/google/gemini-3.8-flash-tts). Works with Codex, Claude Code, and other agents that load `SKILL.md`. 将文本生成 WAV 语音，支持单人旁白、双人对话、指定已有自定义音色，以及情绪、语速、重音、停顿和词语延长等自然语言控制。[中文控制指南](references/speech-controls.md)。 ## Requirements - Python 3.10 or newer; no pip packages required. - Node.js 22.20 or newer for the optional Agent Skills CLI install; speech generation itself needs no Node.js. - A Gemini API key with access to `gemini-3.8-flash-tts`, **or** an OpenRouter API key with credits. - Internet access to Google's Gemini API or OpenRouter. Speech generation can incur charges. ## Install ### Agent Skills CLI (recommended) Install the skill into Codex, Claude Code, Cursor, and other supported agents with the open [Agent Skills CLI](https://github.com/vercel-labs/skills): ```bash npx skills add okooo5km/gemini-tts ``` The installer detects the repository's root `SKILL.md` and lets you choose the target agents and scope. To make the skill available across all projects, install globally: ```bash npx skills add okooo5km/gemini-tts -g ``` To skip the prompts and target specific agents: ```bash npx skills add okooo5km/gemini-tts -g -a codex claude-code -y ``` Only these install commands need Node.js (22.20 or newer); generating speech needs Python only. Update or uninstall later: ```bash npx skills update gemini-tts -g npx skills remove gemini-tts -g ``` A global install lives in `~/.agents/skills/gemini-tts`, and supported agents discover that copy (or a link to it) automatically. Start a new agent session if the skill does not appear. Agent-facing instructions and control examples are in Chinese; the CLI can accept transcripts and style instructions in other languages. ### Manual install for development Use this only when you want to pin a revision or edit the skill itself. On macOS or Linux, keep one copy and link it to your agents: ```bash mkdir -p ~/.agents/skills git clone https://github.com/okooo5km/gemini-tts.git ~/.agents/skills/gemini-tts mkdir -p ~/.codex/skills ~/.claude/skills ln -s ~/.agents/skills/gemini-tts ~/.codex/skills/gemini-tts ln -s ~/.agents/skills/gemini-tts ~/.claude/skills/gemini-tts ``` If a destination already exists, inspect it first; do not overwrite an existing installation. Updates come from `git pull`, not `npx skills update`. For standalone CLI use without any agent, clone anywhere and run `python3 scripts/tts.py` from the repository. Automated tests cover macOS, Linux, and Windows. ### Windows PowerShell `npx skills add` works the same way in PowerShell: ```powershell npx skills add okooo5km/gemini-tts -g -a codex py -3 -X utf8 "$HOME/.agents/skills/gemini-tts/scripts/tts.py" configure ``` Use Python 3.10+ (`py -3 --version`, or verify `python --version`). For a manual installation that you update with `git pull`, clone into a user-owned folder and use directory junctions: ```powershell $skillDir = Join-Path $HOME '.agents/skills/gemini-tts' New-Item -ItemType Directory -Force (Split-Path $skillDir) | Out-Null git clone https://github.com/okooo5km/gemini-tts.git "$skillDir" New-Item -ItemType Directory -Force "$HOME/.codex/skills", "$HOME/.claude/skills" | Out-Null New-Item -ItemType Junction -Path "$HOME/.codex/skills/gemini-tts" -Target "$skillDir" New-Item -ItemType Junction -Path "$HOME/.claude/skills/gemini-tts" -Target "$skillDir" py -3 -X utf8 "$skillDir/scripts/tts.py" configure py -3 -X utf8 "$skillDir/scripts/tts.py" generate --text '你好。' --out './hello.wav' ``` Do not overwrite existing directories. If junctions are unavailable, copy the skill into the agent's skill directory and keep copies updated. Use `python -X utf8` when the `py` launcher is unavailable. PowerShell does not use Bash line continuations or `export`. Full examples for UTF-8 files, paths with spaces, environment variables, and Python integration are in the [platform guide](references/platforms.md). ## Use with an agent After installation, describe the task or call the skill explicitly: ```text Use $gemini-tts to read this transcript in warm, natural Mandarin and save it to ~/Downloads/narration.wav. ``` The agent locates `scripts/tts.py` in the installed skill, runs it, and returns the audio path. Installed skills with Chinese instructions also work from other languages; transcripts and style directions can be Chinese, English, or any language the model supports. ## Configure credentials Use an existing `GEMINI_API_KEY` or `GOOGLE_API_KEY` environment variable, or run this in your own interactive terminal: ```bash python3 ~/.agents/skills/gemini-tts/scripts/tts.py configure ``` The prompt hides input. Configuration is stored outside the skill at `~/.config/gemini-tts/config.json`; set `GEMINI_TTS_CONFIG` to choose another location. Precedence: `GEMINI_API_KEY` → `GOOGLE_API_KEY` → configuration `api_key`. ### OpenRouter Use an existing `OPENROUTER_API_KEY`, or save one next to the Google key: ```bash python3 ~/.agents/skills/gemini-tts/scripts/tts.py configure --provider openrouter python3 ~/.agents/skills/gemini-tts/scripts/tts.py generate --provider openrouter --text '你好。' --out hello.wav ``` Make either provider the default with `tts.py configure --default openrouter` (or `google`); this saves only the choice, not a key. Provider selection: `--provider` → `GEMINI_TTS_PROVIDER` → configured default → whichever key is available (environment before config file; Google first when both exist). OpenRouter calls `google/gemini-3.8-flash-tts` on its [speech endpoint](https://openrouter.ai/docs/guides/overview/multimodal/tts.md): expression controls become `instructions`, dialogues become a list of turns, and the raw 24 kHz PCM response is wrapped into WAV locally. Only the 30 prebuilt voices work there; `voice_...` IDs and `voicekey_...` keys are rejected rather than sent to a third party. The file stores the key in **plaintext**, with mode `600` on POSIX systems. On Windows, protect the file with your account's filesystem permissions. Never put credentials in a prompt, script, command argument, example, or commit. Do not paste keys into issues. ## Generate speech From the repository directory: ```bash python3 scripts/tts.py generate \ --text '不是只有伟大的艺术家，才能创造出好的作品。' \ --voice Iapetus \ --delivery '给朋友发一条语音，自然普通话，随口分享想法' \ --out narration.wav ``` Use `--file transcript.txt` for a UTF-8 transcript (with or without BOM) or `--file -` for UTF-8 stdin. JSON input accepts UTF-8 BOM too. On Windows PowerShell 5.1, use `Set-Content -Encoding UTF8` instead of default redirection to create files; prefer file input over legacy shell pipelines. CLI output is UTF-8, including when redirected. The output directory must exist. Existing files are never overwritten. Successful generation prints JSON with the absolute path, duration, sample rate, channels, and byte count. ### Expression controls | Option | Controls | | --- | --- | | `--voice` | Voice identity; default `Kore`. Prebuilt names, `voice_...` IDs, `voicekey_...` keys, and saved aliases all work. | | `--style` | Free-form direction | | `--emotion` | Emotion | | `--pace` | Speaking pace | | `--accent` | Language/accent | | `--delivery` | Delivery and volume | | `--emphasis` | Words to emphasize | | `--prosody` | Intonation and rhythmic variation | | `--lengthening` | Contextual word elongation | | `--pauses` | Meaning-driven pauses | All expression options are composed into `speech_metadata.style`; they are **prompt guidance**, not precise pitch, timing, or randomization controls. Start with a concrete conversational situation and a few relevant directions. Natural variation should follow meaning and emotion. Dialect accuracy is not guaranteed. Input text is preserved; inline tags such as `<short pause>` or `<sigh>` are passed through unchanged. ```bash python3 scripts/tts.py controls python3 scripts/tts.py generate --help python3 scripts/tts.py generate --text '你好。' --out sample.wav --dry-run ``` `--dry-run` prints the request, including the transcript, without reading credentials or accessing the network. ### Two-speaker dialogue ```bash python3 scripts/tts.py generate --dialogue examples/dialogue.json --out dialogue.wav ``` Configure exactly two distinct speakers using prebuilt voices. Each turn names a speaker and includes text. A turn's `style` replaces the inherited CLI directions for that turn; omitting it inherits them. A replicated voice cannot be passed to the two-speaker mode: Gemini only accepts prebuilt voices inside a single multi-speaker request, so synthesize each custom-voice turn separately and concatenate the audio. Streaming and automatic long-text chunking are not implemented. ## Use an existing custom voice Pass a voice ID obtained from [Google AI Studio](https://aistudio.google.com/generate-speech) directly to `--voice`: ```bash python3 scripts/tts.py generate \ --text 'This is my own voice.' --voice voice_YOUR_VOICE_ID \ --out narration.wav ``` The skill generates speech only: it does not record, create, list, rename, or delete voices and does not run a local studio or server. A custom voice's display name is not its API ID. Use an API key with access to the voice's project; invalid or inaccessible voices fail rather than silently falling back to a prebuilt voice. Prebuilt voice names, existing `voice_...` IDs, and valid `voicekey_...` values remain supported. Existing local aliases are still resolved for backward compatibility; this skill does not add or manage aliases or change existing configuration. Treat `voicekey_...` as a secret: do not publish it in prompts, logs, or source control. A dry run displays the supplied voice value, so use placeholders in shared examples. ## Privacy and errors Generation sends the transcript and style instructions to Google, or to OpenRouter (which forwards them to Google) when that provider is selected. The client sends credentials in an HTTP header to a fixed HTTPS endpoint; it does not log keys or raw API responses. Generated audio stays at your selected output path. Requests are not automatically retried or switched to another model. A timeout can occur after billable generation has started. HTTP 402 usually requires reviewing project billing; 401/403 indicate authentication or access issues; 429 indicates quota/rate limits. Check [Google's billing guide](https://ai.google.dev/gemini-api/docs/billing) and your project status before retrying. Responses must contain valid, nonempty, untruncated audio. Google returns WAV with a header, which is saved as-is; OpenRouter returns raw PCM, which gets a WAV header. A metadata lookup alone does not prove generation quota is available. ## Development ```bash python3 -m unittest discover -s tests -v ``` Tests use temporary files and mocked HTTP responses: no API key, network access, or paid generation required. CI runs the same suite. Prior manual smoke tests confirmed single-speaker WAV generation; they do not establish audio quality for every voice or language. ```text SKILL.md Agent instructions agents/openai.yaml Codex UI metadata scripts/tts.py Python CLI for speech generation references/speech-controls.md Control guidance references/platforms.md Platform-specific execution guidance examples/dialogue.json Two-speaker input example tests/ Offline behavior tests .github/workflows/tests.yml CI LICENSE MIT license ``` API documentation: [Speech generation](https://ai.google.dev/gemini-api/docs/speech-generation) and [Voice replication](https://ai.google.dev/gemini-api/docs/voice-replication). Use only custom voices you are authorized to use, subject to Google's [prohibited use policy](https://policies.google.com/terms/generative-ai/use-policy). This is an independent project, not an official Google product. The MIT license covers this project's code and documentation; use of Google's API remains subject to Google's terms.

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gemini-tts

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在 macOS、Linux、Windows 上通过 Google 官方 API 或 OpenRouter 使用 Gemini 3.8 Flash TTS 将文本生成 WAV 语音，支持预置音色、已有自定义音色 ID、语气、语速描述和双人对话。用于朗读、配音、旁白和播客语音生成；不用于语音识别、实时语音聊天或音色创建管理。

原文の言語: 中国語

2026-10-31

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