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| author | historia <historiavg@proton.me> | 2026-08-24 16:08:33 -0400 |
|---|---|---|
| committer | historia <historiavg@proton.me> | 2026-08-24 16:08:33 -0400 |
| commit | 1ff9a635bd9b033b631a6b525891b7eb44e189d3 (patch) | |
| tree | 6dbcd7e682d516770be4c0724db793666c93dd5f /app/docs/backend-faster.md | |
| parent | afd1c67d92c7f32389d5f652b9fa71530538a16f (diff) | |
| download | tts-audiobook-generator-1ff9a635bd9b033b631a6b525891b7eb44e189d3.tar.gz | |
feat: clearer split between local (managed) and remote URLs and server status
Diffstat (limited to 'app/docs/backend-faster.md')
| -rw-r--r-- | app/docs/backend-faster.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/app/docs/backend-faster.md b/app/docs/backend-faster.md index 1f22d99..d4b5b40 100644 --- a/app/docs/backend-faster.md +++ b/app/docs/backend-faster.md @@ -4,7 +4,7 @@ The easiest way is to run `python audiobook.py` → **Set up a backend… → faster-qwen3-tts** (or `python app/backends/faster.py path/to/clone/wavs`): the TUI pip-installs `faster-qwen3-tts[demo]` into its managed venv (`app/envs/tts`), clones the repo, transcribes the `.wav` files with `whisper`, and writes `voices.json` for you. You can also start the server from the hub's **Start/Stop Backend Servers** menu, or let a conversion start it automatically. -If you prefer to install the backend yourself (in your own environment, not the managed venv), the manual steps are below. Either way the hub detects a running server by its port, so a manually-installed backend works once its server is up. +If you prefer to install the backend yourself (in your own environment, not the managed venv), the manual steps are below. Either way the hub detects a running server by its port, so a manually-installed backend works once its server is up. To use a server on another machine, set `FASTER_REMOTE_URL` in `app/converter/config.py` to its `host:port` (default `127.0.0.1:8000`) — the hub probes it and offers a `faster-qwen3-tts [remote]` entry — or pass `--api-url` on the CLI. Install into your environment (the same one used for qwen-tts is fine): |