dsh-dania-voice

dsh-dania-voice

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Local GPT-SoVITS text-to-speech for DeepSeek Harness. It reads assistant replies aloud in a fine-tuned voice, controlled by a small draggable mascot hanging at the top of the interface.

Everything runs on your machine — no audio, no text leaves it. How it works

Playback happens in the browser on purpose: the Host process has no audio device, and the voice should come out of the machine you are actually sitting at.

When cleaning, inline code is not dropped — ops_bash is spoken as ops bash, and long all-caps words are lowercased so the model reads them as words instead of spelling out E X E C U T O R. Code blocks become a single spoken cue ("there's a code block here") instead of being read line by line. Requirements Install

Then open the mascot panel and click One-click setup. The installer runs as a separate process and reports progress into the same panel:

1. creates a Python venv under the install directory 2. installs PyTorch (CUDA build when nvidia-smi is present) 3. installs the inference dependencies 4. downloads GPT-SoVITS source (~50 MB) 5. downloads the pretrained base models (~1.6 GB) 6. downloads the voice model and its reference audio (~320 MB)

It is idempotent — if it fails halfway, click again and completed steps are skipped. That matters because step 5 is a 1.6 GB download.

The default install directory is $DSH_HOME/dania-voice. Override it with installDir if you want it on another drive. Usage

A mascot hangs at the top centre of the window: Click — toggle reading on/off Drag — move it anywhere; the position is remembered Right-click / Shift+click — open the settings panel While reading, the mascot gently bobs

Panel controls: volume, speed, temperature (lower = steadier, less breathiness), inter-sentence pause, plus repeat last reply and say a line for testing.