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authorhistoria <historiavg@proton.me>2026-08-24 01:57:13 -0400
committerhistoria <historiavg@proton.me>2026-08-24 01:58:17 -0400
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treee9ec4f35c18102d4624d3cd59358d192be7bbfcb /docs/backend-qwen.md
parent194c63e4d11e6de9792a736a7b99788f1db78741 (diff)
downloadtts-audiobook-generator-c02d66b2d3221c0c5f5e8f2cb2ae218f1e325a0a.tar.gz
feat: manage venv for all backends
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# 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