From c02d66b2d3221c0c5f5e8f2cb2ae218f1e325a0a Mon Sep 17 00:00:00 2001 From: historia Date: Mon, 24 Aug 2026 01:57:13 -0400 Subject: feat: manage venv for all backends --- docs/backend-qwen.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) (limited to 'docs/backend-qwen.md') diff --git a/docs/backend-qwen.md b/docs/backend-qwen.md index 0c9dab0..028d6f3 100644 --- a/docs/backend-qwen.md +++ b/docs/backend-qwen.md @@ -1,8 +1,10 @@ # Backend Option 2: Qwen3-TTS -The TUI sets this up: run `python audiobook.py` → **Set up a backend… → qwen-tts**, or `python -m backends.qwen`. It pip-installs `qwen-tts` and configures the two ports and built-in speaker in `converter/config.py`, then prints the launch commands. Manual steps: +The easiest way is to run `python audiobook.py` → **Set up a backend… → qwen-tts** (or `python -m backends.qwen`): the TUI pip-installs `qwen-tts` into its managed venv (`envs/tts`), configures the two ports and the built-in speaker in `converter/config.py`, and prints the launch commands. You can also start the server from the hub's **Server** menu, or let a conversion start it automatically. -Install qwen-tts with pip: +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. + +Install qwen-tts with pip into your environment: ```bash conda activate audiobook -- cgit v1.2.3