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@@ -2,7 +2,7 @@  -Generate audiobooks from books (epub, txt, pdf) using text-to-speech backends such as `audio.cpp`, `qwen-tts`, and `SGLang-Omni`. TAG installs and manages requirements and backend servers automatically. +Generate audiobooks from books (epub, txt, pdf) using text-to-speech backends such as `audio.cpp`, `qwen-tts`, and `SGLang-Omni`. TAG installs and manages requirements, backend servers, and TTS models automatically. ## Overview @@ -123,6 +123,24 @@ Transcription affects the output a lot. The automatic Whisper transcript is not Even tiny amounts of pause between phrases in the sample audio can have a big impact. Try increasing or decreasing them or find a sample with different cadence. +## Uninstall + +Everything the tool installs lives inside the project folder — venvs, the audio.cpp checkout, cloned repos, downloaded models, logs, and generated audiobooks — so removing it removes all of that: + +```bash +rm -rf tts-audiobook-generator +``` + +A few caches land in your home directory. Only delete these if you don't share them with other tools: + +- `~/.cache/huggingface/hub` — TTS model weights and Whisper transcription models (delete only the `models--*` directories to keep the rest) +- `~/.cache/whisper` — OpenAI Whisper models (only used when the fallback transcriber runs) +- `~/.cache/pip` — downloaded wheels (shared with pip itself) + +```bash +rm -rf ~/.cache/huggingface/hub ~/.cache/whisper ~/.cache/pip +``` + ## License MIT |