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dsh-voice-input-en

mohith-das/dsh-voice-input-en

为 DeepSeek Harness Web UI 添加英文语音输入按钮,通过浏览器原生 SpeechRecognition 将语音转为草稿文本。

安装

dsh plugin --profile web add github:mohith-das/dsh-voice-input-en

README

dsh-voice-input-en

npm version

Minimal, English-only voice input for the DeepSeek Harness Web UI.

Adds a mic button to the composer's tool row. Click it, speak, and the transcript streams into your message draft live via the browser's native SpeechRecognition API (Chrome / Edge). Click again (or the "Done" button) to stop.

Written from scratch, not derived from any third-party plugin, specifically to stay small enough to read end to end in one sitting:

  • client.js — the entire UI and speech-recognition logic (~230 lines, zero dependencies beyond react, which the host already provides).
  • lib/index.js — a no-op host-side stub required only so the loader mounts the client bundle.

No language picker, no localStorage, no auto-send, no text-to-speech, no subprocess execution, no network calls beyond whatever the browser's own speech backend makes on its own. Recognition language follows the browser's locale (navigator.language).

Install

Add it to your DSH web profile's dependencies:

dsh plugin --profile web add -w dsh-voice-input-en

Then insert it as a Loader entry via cordis.patch.yml (installing the dependency alone isn't enough — the loader only picks up packages that appear as a Loader entry):

# ~/.dsh/profiles/web/cordis.patch.yml
- insert:
    - id: dsh-voice-input-en
      name: 'dsh-voice-input-en'

Restart dsh web and refresh the page. For local development instead of the published npm package, point the dependency at a local path with "dsh-voice-input-en": "file:/absolute/path/to/dsh-voice-input-en".

Compatibility

  • Requires Chrome, Edge, or another browser that implements webkitSpeechRecognition. Firefox does not support the Web Speech API.
  • Must be served from localhost / 127.0.0.1 or HTTPS (browser security requirement).
  • Speech recognition requires network access — the browser calls its own underlying speech service to do the recognition.

License

MIT

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