github/ebook2audiobook
1
1
Fork 0
mirror of https://github.com/DrewThomasson/ebook2audiobook.git synced 2026-01-09 13:58:14 -05:00
Code Issues Packages Projects Releases Wiki Activity

...

Browse Source
This commit is contained in:
unknown
2025-12-20 06:23:20 -08:00
parent 4f979ea6ed
commit 99f07b6465
6 changed files with 23 additions and 23 deletions
Download Patch File Download Diff File Expand all files Collapse all files

36
ebook2audiobook.sh
View File

@@ -2,6 +2,8 @@
set -euo pipefail
: "${HOME:=$PWD}"
CURRENT_PYVENV=""
SWITCHED_TO_ZSH="${SWITCHED_TO_ZSH:-0}"
@@ -27,7 +29,7 @@ export TMPDIR="$SCRIPT_DIR/tmp"
export CONDA_HOME="$HOME/Miniforge3"
export CONDA_BIN_PATH="$CONDA_HOME/bin"
export CONDA_ENV="$CONDA_HOME/etc/profile.d/conda.sh"
export PATH="$CONDA_BIN_PATH:$PATH"
export PATH="$CONDA_BIN_PATH:${PATH-}"
NATIVE="native"
BUILD_DOCKER="build_docker"
@@ -125,8 +127,8 @@ if [[ -n "${arguments[script_mode]+exists}" ]]; then
fi
fi
[[ "$OSTYPE" != darwin* && "$SCRIPT_MODE" != "$BUILD_DOCKER" ]] && SUDO="sudo" || SUDO=""
[[ $OSTYPE == darwin* ]] && SHELL_NAME="zsh" || SHELL_NAME="bash"
[[ "${OSTYPE-}" != darwin* && "$SCRIPT_MODE" != "$BUILD_DOCKER" ]] && SUDO="sudo" || SUDO=""
[[ ${OSTYPE-} == darwin* ]] && SHELL_NAME="zsh" || SHELL_NAME="bash"
cd "$SCRIPT_DIR"
@@ -146,14 +148,12 @@ function has_no_display {
return 1 # SSH or console mode
fi
else
if [[ -n "$SSH_CONNECTION" || -n "$SSH_CLIENT" || -n "$SSH_TTY" ]]; then
if [[ -n "${SSH_CONNECTION-}" || -n "${SSH_CLIENT-}" || -n "${SSH_TTY-}" ]]; then
return 1
fi
if [[ -z "$DISPLAY" && -z "$WAYLAND_DISPLAY" ]]; then
if [[ -z "${DISPLAY-}" && -z "${WAYLAND_DISPLAY-}" ]]; then
return 1 # No display server → headless
fi
if pgrep -x vncserver >/dev/null 2>&1 || \
pgrep -x Xvnc >/dev/null 2>&1 || \
pgrep -x x11vnc >/dev/null 2>&1 || \
@@ -198,7 +198,7 @@ function open_desktop_app {
fi
done
if [[ "$OSTYPE" == darwin* ]]; then
if [[ "${OSTYPE-}" == darwin* ]]; then
open "$url" >/dev/null 2>&1 &
elif command -v xdg-open >/dev/null 2>&1; then
xdg-open "$url" >/dev/null 2>&1 &
@@ -321,9 +321,9 @@ function check_desktop_app {
if [[ " ${ARGS[*]} " == *" --headless "* ]] || ! has_no_display; then
return 0
fi
if [[ "$OSTYPE" == darwin* ]]; then
if [[ "${OSTYPE-}" == darwin* ]]; then
mac_app
elif [[ "$OSTYPE" == linux* ]]; then
elif [[ "${OSTYPE-}" == linux* ]]; then
linux_app
fi
return 0
@@ -385,7 +385,7 @@ function check_required_programs {
}
function install_programs {
if [[ "$OSTYPE" == darwin* ]]; then
if [[ "${OSTYPE-}" == darwin* ]]; then
echo -e "\e[33mInstalling required programs...\e[0m"
PACK_MGR="brew install"
if ! command -v brew &> /dev/null; then
@@ -468,7 +468,7 @@ EOF
# avoid conflict with calibre builtin lxml
python3 -m pip uninstall lxml -y 2>/dev/null
echo -e "\e[33mInstalling Calibre...\e[0m"
if [[ "$OSTYPE" == darwin* ]]; then
if [[ "${OSTYPE-}" == darwin* ]]; then
eval "$PACK_MGR --cask calibre"
else
if [[ "$SUDO" == "sudo" ]]; then
@@ -496,7 +496,7 @@ EOF
eval "$SUDO $PACK_MGR $program $PACK_MGR_OPTIONS"
if command -v $program >/dev/null 2>&1; then
echo -e "\e[32m=============== $program is installed! ===============\e[0m"
ISO3_LANG="$(get_iso3_lang $OS_LANG)"
ISO3_LANG="$(get_iso3_lang "${OS_LANG:-en}")"
echo "Detected system language: $OS_LANG → installing Tesseract OCR language: $ISO3_LANG"
langpack=""
if command -v brew &> /dev/null; then
@@ -563,7 +563,7 @@ function check_conda {
local installer_path="/tmp/Miniforge3.sh"
local config_path
echo -e "\e[33mDownloading Miniforge3 installer...\e[0m"
if [[ "$OSTYPE" == darwin* ]]; then
if [[ "${OSTYPE-}" == darwin* ]]; then
config_path="$HOME/.zshrc"
curl -fsSLo "$installer_path" "$MINIFORGE_MACOSX_INSTALLER_URL"
else
@@ -595,11 +595,11 @@ function check_conda {
fi
fi
if [[ ! -d "$SCRIPT_DIR/$PYTHON_ENV" ]]; then
if [[ "$OSTYPE" == darwin* && "$ARCH" == "x86_64" ]]; then
if [[ "${OSTYPE-}" == darwin* && "$ARCH" == "x86_64" ]]; then
PYTHON_VERSION="3.11"
elif [[ -r /proc/device-tree/model ]]; then
# Detect Jetson and select correct Python version
MODEL=$(tr -d '\0' </proc/device-tree/model | tr 'A-Z' 'a-z')
MODEL="$(tr -d '\0' </proc/device-tree/model 2>/dev/null | tr 'A-Z' 'a-z' || true)"
if [[ "$MODEL" == *jetson* ]]; then
PYTHON_VERSION="3.10"
fi
@@ -649,7 +649,7 @@ function install_python_packages {
progress_bar() {
local cur=$1 max=$2 width=30
local filled=$(( cur * width / max ))
printf "\r[%-${width}s] %d/%d" "$(printf '#%.0s' $(seq 1 "$filled"))" "$cur" "$max"
printf "\r[%-${width}s] %d/%d" "$(printf '#%.0s' $(printf '%*s' "$filled" ''))" "$cur" "$max"
}
while IFS= read -r pkg || [[ -n "$pkg" ]]; do
@@ -728,7 +728,7 @@ function build_docker_image {
mps) cmd_options="" ;;
*) cmd_options="" ;;
esac
ISO3_LANG="$(get_iso3_lang $OS_LANG)"
ISO3_LANG="$(get_iso3_lang "${OS_LANG:-en}")"
DOCKER_IMG_NAME="${DOCKER_IMG_NAME}:${TAG}"
if docker compose version >/dev/null 2>&1; then
BUILD_NAME="$DOCKER_IMG_NAME" docker compose \

2
lib/classes/tts_engines/bark.py
View File

@@ -237,7 +237,7 @@ class Bark(TTSRegistry, name='bark'):
engine = self._load_checkpoint(tts_engine=TTS_ENGINES['XTTSv2'], key=key, checkpoint_path=checkpoint_path, config_path=config_path, vocab_path=vocab_path)
if engine:
if speaker in default_engine_settings[TTS_ENGINES['XTTSv2']]['voices'].keys():
gpt_cond_latent, speaker_embedding = xtts_builtin_speakers_list[default_engine_settings[TTS_ENGINES['XTTSv2']]['voices'][speaker]].values()
gpt_cond_latent, speaker_embedding = self.xtts_speakers[default_engine_settings[TTS_ENGINES['XTTSv2']]['voices'][speaker]].values()
else:
gpt_cond_latent, speaker_embedding = engine.get_conditioning_latents(audio_path=[voice_path])
fine_tuned_params = {

2
lib/classes/tts_engines/fairseq.py
View File

@@ -210,7 +210,7 @@ class Fairseq(TTSRegistry, name='fairseq'):
engine = self._load_checkpoint(tts_engine=TTS_ENGINES['XTTSv2'], key=key, checkpoint_path=checkpoint_path, config_path=config_path, vocab_path=vocab_path)
if engine:
if speaker in default_engine_settings[TTS_ENGINES['XTTSv2']]['voices'].keys():
gpt_cond_latent, speaker_embedding = xtts_builtin_speakers_list[default_engine_settings[TTS_ENGINES['XTTSv2']]['voices'][speaker]].values()
gpt_cond_latent, speaker_embedding = self.xtts_speakers[default_engine_settings[TTS_ENGINES['XTTSv2']]['voices'][speaker]].values()
else:
gpt_cond_latent, speaker_embedding = engine.get_conditioning_latents(audio_path=[voice_path])
fine_tuned_params = {

2
lib/classes/tts_engines/tacotron.py
View File

@@ -236,7 +236,7 @@ class Tacotron2(TTSRegistry, name='tacotron'):
engine = self._load_checkpoint(tts_engine=TTS_ENGINES['XTTSv2'], key=key, checkpoint_path=checkpoint_path, config_path=config_path, vocab_path=vocab_path)
if engine:
if speaker in default_engine_settings[TTS_ENGINES['XTTSv2']]['voices'].keys():
gpt_cond_latent, speaker_embedding = xtts_builtin_speakers_list[default_engine_settings[TTS_ENGINES['XTTSv2']]['voices'][speaker]].values()
gpt_cond_latent, speaker_embedding = self.xtts_speakers[default_engine_settings[TTS_ENGINES['XTTSv2']]['voices'][speaker]].values()
else:
gpt_cond_latent, speaker_embedding = engine.get_conditioning_latents(audio_path=[voice_path])
fine_tuned_params = {

2
lib/classes/tts_engines/vits.py
View File

@@ -218,7 +218,7 @@ class Vits(TTSRegistry, name='vits'):
engine = self._load_checkpoint(tts_engine=TTS_ENGINES['XTTSv2'], key=key, checkpoint_path=checkpoint_path, config_path=config_path, vocab_path=vocab_path)
if engine:
if speaker in default_engine_settings[TTS_ENGINES['XTTSv2']]['voices'].keys():
gpt_cond_latent, speaker_embedding = xtts_builtin_speakers_list[default_engine_settings[TTS_ENGINES['XTTSv2']]['voices'][speaker]].values()
gpt_cond_latent, speaker_embedding = self.xtts_speakers[default_engine_settings[TTS_ENGINES['XTTSv2']]['voices'][speaker]].values()
else:
gpt_cond_latent, speaker_embedding = engine.get_conditioning_latents(audio_path=[voice_path])
fine_tuned_params = {

2
lib/classes/tts_engines/yourtts.py
View File

@@ -209,7 +209,7 @@ class YourTTS(TTSRegistry, name='yourtts'):
engine = self._load_checkpoint(tts_engine=TTS_ENGINES['XTTSv2'], key=key, checkpoint_path=checkpoint_path, config_path=config_path, vocab_path=vocab_path)
if engine:
if speaker in default_engine_settings[TTS_ENGINES['XTTSv2']]['voices'].keys():
gpt_cond_latent, speaker_embedding = xtts_builtin_speakers_list[default_engine_settings[TTS_ENGINES['XTTSv2']]['voices'][speaker]].values()
gpt_cond_latent, speaker_embedding = self.xtts_speakers[default_engine_settings[TTS_ENGINES['XTTSv2']]['voices'][speaker]].values()
else:
gpt_cond_latent, speaker_embedding = engine.get_conditioning_latents(audio_path=[voice_path])
fine_tuned_params = {