feat: audiobook.py tui: convert, modify, or install backends

1 files changed, 3 insertions, 3 deletions

diff --git a/docs/backend-faster.md b/docs/backend-faster.md
index 83614c7..40b10f7 100644
--- a/docs/backend-faster.md
+++ b/docs/backend-faster.md
@@ -10,16 +10,16 @@ pip install -U qwen-tts
 pip install "faster-qwen3-tts[demo]"
 ```
 
-**This backend always uses voice cloning**. The reference voice and language are configured on the **server**, not through the converter. The server does not transcribe reference audio itself, so do it manually or use the `tools/make_faster_voices_json.py` helper (see below).
+**This backend always uses voice cloning**. The reference voice and language are configured on the **server**, not through the converter. The server does not transcribe reference audio itself, so do it manually or use the `backends.faster` setup wizard (see below).
 
-The pip package does not include the server script, so clone the repository:
+The pip package does not include the server script, so clone the repository (the `backends.faster` wizard does this for you into `./faster-qwen3-tts`):
 
 ```bash
 git clone https://github.com/andimarafioti/faster-qwen3-tts
 cd faster-qwen3-tts
 ```
 
-Create a `voices.json` mapping names to reference configurations (.wav to clone, transcript, language). Optionally run `python ./tools/make_faster_voices_json.py path/to/clone/wavs` to automatically create a `voices.json` using whisper to automatically transcribe the test audio.
+Create a `voices.json` mapping names to reference configurations (.wav to clone, transcript, language). The TUI setup (`python audiobook.py` → **Set up a backend… → faster-qwen3-tts**, or `python -m backends.faster path/to/clone/wavs`) pip-installs the package, clones the repo, transcribes the `.wav` files with `whisper`, and writes `voices.json` for you.
 
 ```json
 {