| #!/bin/bash
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| SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" &>/dev/null && pwd)"
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| cd "$SCRIPT_DIR" || exit 1
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|
|
| RESET="\033[0m"
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| BOLD="\033[1m"
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| ERROR="\033[1;31m[ERROR]: $RESET"
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| WARNING="\033[1;33m[WARNING]: $RESET"
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| INFO="\033[1;32m[INFO]: $RESET"
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| SUCCESS="\033[1;34m[SUCCESS]: $RESET"
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|
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| set -eE
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| set -o errtrace
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|
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| trap 'on_error $LINENO "$BASH_COMMAND" $?' ERR
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| on_error() {
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| local lineno="$1"
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| local cmd="$2"
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| local code="$3"
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|
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| echo -e "${ERROR}${BOLD}Command \"${cmd}\" Failed${RESET} at ${BOLD}Line ${lineno}${RESET} with Exit Code ${BOLD}${code}${RESET}"
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| echo -e "${ERROR}${BOLD}Call Stack:${RESET}"
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| for ((i = ${#FUNCNAME[@]} - 1; i >= 1; i--)); do
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| echo -e " in ${BOLD}${FUNCNAME[i]}()${RESET} at ${BASH_SOURCE[i]}:${BOLD}${BASH_LINENO[i - 1]}${RESET}"
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| done
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| exit "$code"
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| }
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|
|
| run_conda_quiet() {
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| local output
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| output=$(conda install --yes --quiet -c conda-forge "$@" 2>&1) || {
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| echo -e "${ERROR} Conda install failed:\n$output"
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| exit 1
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| }
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| }
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|
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| run_pip_quiet() {
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| local output
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| output=$(pip install "$@" 2>&1) || {
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| echo -e "${ERROR} Pip install failed:\n$output"
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| exit 1
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| }
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| }
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|
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| run_wget_quiet() {
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| if wget --tries=25 --wait=5 --read-timeout=40 -q --show-progress "$@" 2>&1; then
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| if [ "$WORKFLOW" = "false" ]; then
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| tput cuu1 && tput el
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| fi
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| else
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| echo -e "${ERROR} Wget failed"
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| exit 1
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| fi
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| }
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|
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| WORKFLOW=${WORKFLOW:-"false"}
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| MODEL_VERSION=""
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| PIP_INDEX_URL=""
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|
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| USE_HF=false
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| USE_HF_MIRROR=false
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| USE_MODELSCOPE=false
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|
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| print_help() {
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| echo "Usage: bash install.sh [OPTIONS]"
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| echo ""
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| echo "Options:"
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| echo " --source HF|HF-Mirror|ModelScope Specify the model source (REQUIRED)"
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| echo " --version v1|v2|v2Pro|v2ProPlus|all"
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| echo " Specify which inference pretrained files to download (REQUIRED)"
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| echo " --pip-index-url URL Optional pip index mirror for requirements installation"
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| echo " -h, --help Show this help message and exit"
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| echo ""
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| echo "Examples:"
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| echo " bash install.sh --source HF --version v2Pro"
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| echo " bash install.sh --source ModelScope --version all"
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| echo " bash install.sh --source HF-Mirror --version v2ProPlus --pip-index-url https://pypi.tuna.tsinghua.edu.cn/simple"
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| }
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|
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| if [[ $# -eq 0 ]]; then
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| print_help
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| exit 0
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| fi
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|
|
|
|
| while [[ $# -gt 0 ]]; do
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| case "$1" in
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| --source)
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| case "$2" in
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| HF)
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| USE_HF=true
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| ;;
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| HF-Mirror)
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| USE_HF_MIRROR=true
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| ;;
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| ModelScope)
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| USE_MODELSCOPE=true
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| ;;
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| *)
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| echo -e "${ERROR}Error: Invalid Download Source: $2"
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| echo -e "${ERROR}Choose From: [HF, HF-Mirror, ModelScope]"
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| exit 1
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| ;;
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| esac
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| shift 2
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| ;;
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| --version)
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| case "$2" in
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| v1 | v2 | v2Pro | v2ProPlus | all)
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| MODEL_VERSION="$2"
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| ;;
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| *)
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| echo -e "${ERROR}Error: Invalid Version: $2"
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| echo -e "${ERROR}Choose From: [v1, v2, v2Pro, v2ProPlus, all]"
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| exit 1
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| ;;
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| esac
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| shift 2
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| ;;
|
| --pip-index-url)
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| if [ -z "$2" ]; then
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| echo -e "${ERROR}Error: --pip-index-url requires a value"
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| exit 1
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| fi
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| PIP_INDEX_URL="$2"
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| shift 2
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| ;;
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| -h | --help)
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| print_help
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| exit 0
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| ;;
|
| *)
|
| if [[ "$1" == "--device" ]]; then
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| echo -e "${ERROR}Error: --device is no longer supported. This installer now installs CPU-only dependencies."
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| else
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| echo -e "${ERROR}Unknown Argument: $1"
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| fi
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| echo ""
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| print_help
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| exit 1
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| ;;
|
| esac
|
| done
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|
|
| if ! $USE_HF && ! $USE_HF_MIRROR && ! $USE_MODELSCOPE; then
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| echo -e "${ERROR}Error: Download Source is REQUIRED"
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| echo ""
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| print_help
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| exit 1
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| fi
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|
|
| if [ -z "$MODEL_VERSION" ]; then
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| echo -e "${ERROR}Error: Version is REQUIRED"
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| echo ""
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| print_help
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| exit 1
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| fi
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|
|
| if ! command -v conda &>/dev/null; then
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| echo -e "${ERROR}Conda Not Found"
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| exit 1
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| fi
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|
|
| case "$(uname -m)" in
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| x86_64 | amd64) SYSROOT_PKG="sysroot_linux-64>=2.28" ;;
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| aarch64 | arm64) SYSROOT_PKG="sysroot_linux-aarch64>=2.28" ;;
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| ppc64le) SYSROOT_PKG="sysroot_linux-ppc64le>=2.28" ;;
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| *)
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| echo "Unsupported architecture: $(uname -m)"
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| exit 1
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| ;;
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| esac
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|
|
|
|
| echo -e "${INFO}Detected system: $(uname -s) $(uname -r) $(uname -m)"
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| if [ "$(uname)" != "Darwin" ]; then
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| gcc_major_version=$(command -v gcc >/dev/null 2>&1 && gcc -dumpversion | cut -d. -f1 || echo 0)
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| if [ "$gcc_major_version" -lt 11 ]; then
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| echo -e "${INFO}Installing GCC & G++..."
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| run_conda_quiet gcc=11 gxx=11
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| run_conda_quiet "$SYSROOT_PKG"
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| echo -e "${SUCCESS}GCC & G++ Installed..."
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| else
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| echo -e "${INFO}Detected GCC Version: $gcc_major_version"
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| echo -e "${INFO}Skip Installing GCC & G++ From Conda-Forge"
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| echo -e "${INFO}Installing libstdcxx-ng From Conda-Forge"
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| run_conda_quiet "libstdcxx-ng>=$gcc_major_version"
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| echo -e "${SUCCESS}libstdcxx-ng=$gcc_major_version Installed..."
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| fi
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| else
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| if ! xcode-select -p &>/dev/null; then
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| echo -e "${INFO}Installing Xcode Command Line Tools..."
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| xcode-select --install
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| echo -e "${INFO}Waiting For Xcode Command Line Tools Installation Complete..."
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| while true; do
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| sleep 20
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|
|
| if xcode-select -p &>/dev/null; then
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| echo -e "${SUCCESS}Xcode Command Line Tools Installed"
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| break
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| else
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| echo -e "${INFO}Installing,Please Wait..."
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| fi
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| done
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| else
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| XCODE_PATH=$(xcode-select -p)
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| if [[ "$XCODE_PATH" == *"Xcode.app"* ]]; then
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| echo -e "${WARNING} Detected Xcode path: $XCODE_PATH"
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| echo -e "${WARNING} If your Xcode version does not match your macOS version, it may cause unexpected issues during compilation or package builds."
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| fi
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| fi
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| fi
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|
|
| echo -e "${INFO}Installing FFmpeg & CMake..."
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| run_conda_quiet ffmpeg cmake make
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| echo -e "${SUCCESS}FFmpeg & CMake Installed"
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|
|
| echo -e "${INFO}Installing unzip..."
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| run_conda_quiet unzip
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| echo -e "${SUCCESS}unzip Installed"
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|
|
| if [ "$USE_HF" = "true" ]; then
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| echo -e "${INFO}Download Model From HuggingFace"
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| REPO_FILE_URL_PREFIX="https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main"
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| G2PW_FILE_URL_PREFIX="https://huggingface.co/baicai1145/g2pw/resolve/main"
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| NLTK_URL="https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/nltk_data.zip"
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| PYOPENJTALK_URL="https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/open_jtalk_dic_utf_8-1.11.tar.gz"
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| elif [ "$USE_HF_MIRROR" = "true" ]; then
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| echo -e "${INFO}Download Model From HuggingFace-Mirror"
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| REPO_FILE_URL_PREFIX="https://hf-mirror.com/XXXXRT/GPT-SoVITS-Pretrained/resolve/main"
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| G2PW_FILE_URL_PREFIX="https://hf-mirror.com/baicai1145/g2pw/resolve/main"
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| NLTK_URL="https://hf-mirror.com/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/nltk_data.zip"
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| PYOPENJTALK_URL="https://hf-mirror.com/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/open_jtalk_dic_utf_8-1.11.tar.gz"
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| elif [ "$USE_MODELSCOPE" = "true" ]; then
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| echo -e "${INFO}Download Model From ModelScope"
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| REPO_FILE_URL_PREFIX="https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master"
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| G2PW_FILE_URL_PREFIX="https://www.modelscope.cn/models/baicai1145/g2pw/resolve/master"
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| NLTK_URL="https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/nltk_data.zip"
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| PYOPENJTALK_URL="https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/open_jtalk_dic_utf_8-1.11.tar.gz"
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| fi
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|
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| download_repo_file_if_missing() {
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| local relative_path="$1"
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| local local_path="GPT_SoVITS/${relative_path}"
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| local remote_url="${REPO_FILE_URL_PREFIX}/${relative_path}"
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|
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| if [ -f "$local_path" ]; then
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| echo -e "${INFO}File Exists: ${local_path}"
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| return
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| fi
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|
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| mkdir -p "$(dirname "$local_path")"
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| echo -e "${INFO}Downloading ${relative_path}..."
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| run_wget_quiet "$remote_url" -O "$local_path"
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| echo -e "${SUCCESS}Downloaded ${relative_path}"
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| }
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|
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| download_g2pw_file_if_missing() {
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| local filename="$1"
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| local url_prefix="${2:-$G2PW_FILE_URL_PREFIX}"
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| local local_path="GPT_SoVITS/text/G2PWModel/${filename}"
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| local remote_url="${url_prefix}/${filename}"
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|
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| if [ -f "$local_path" ]; then
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| echo -e "${INFO}File Exists: ${local_path}"
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| return
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| fi
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|
|
| mkdir -p "$(dirname "$local_path")"
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| echo -e "${INFO}Downloading G2PWModel/${filename}..."
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| run_wget_quiet "$remote_url" -O "$local_path"
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| echo -e "${SUCCESS}Downloaded G2PWModel/${filename}"
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| }
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|
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| download_g2pw_files() {
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| download_g2pw_file_if_missing "MONOPHONIC_CHARS.txt"
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| download_g2pw_file_if_missing "POLYPHONIC_CHARS.txt"
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| download_g2pw_file_if_missing "config.py"
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| download_g2pw_file_if_missing "g2pw.pth"
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| download_g2pw_file_if_missing "record.log"
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| }
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|
|
| download_shared_inference_files() {
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| download_repo_file_if_missing "pretrained_models/chinese-hubert-base/config.json"
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| download_repo_file_if_missing "pretrained_models/chinese-hubert-base/preprocessor_config.json"
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| download_repo_file_if_missing "pretrained_models/chinese-hubert-base/pytorch_model.bin"
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|
|
| download_repo_file_if_missing "pretrained_models/chinese-roberta-wwm-ext-large/config.json"
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| download_repo_file_if_missing "pretrained_models/chinese-roberta-wwm-ext-large/pytorch_model.bin"
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| download_repo_file_if_missing "pretrained_models/chinese-roberta-wwm-ext-large/tokenizer.json"
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|
|
| download_repo_file_if_missing "pretrained_models/fast_langdetect/lid.176.bin"
|
| download_repo_file_if_missing "pretrained_models/fast_langdetect/lid.176.ftz"
|
| }
|
|
|
| download_version_files() {
|
| case "$1" in
|
| v1)
|
| download_repo_file_if_missing "pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt"
|
| download_repo_file_if_missing "pretrained_models/s2G488k.pth"
|
| ;;
|
| v2)
|
| download_repo_file_if_missing "pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt"
|
| download_repo_file_if_missing "pretrained_models/gsv-v2final-pretrained/s2G2333k.pth"
|
| ;;
|
| v2Pro)
|
| download_repo_file_if_missing "pretrained_models/s1v3.ckpt"
|
| download_repo_file_if_missing "pretrained_models/sv/pretrained_eres2netv2w24s4ep4.ckpt"
|
| download_repo_file_if_missing "pretrained_models/v2Pro/s2Gv2Pro.pth"
|
| ;;
|
| v2ProPlus)
|
| download_repo_file_if_missing "pretrained_models/s1v3.ckpt"
|
| download_repo_file_if_missing "pretrained_models/sv/pretrained_eres2netv2w24s4ep4.ckpt"
|
| download_repo_file_if_missing "pretrained_models/v2Pro/s2Gv2ProPlus.pth"
|
| ;;
|
| all)
|
| download_version_files v1
|
| download_version_files v2
|
| download_version_files v2Pro
|
| download_version_files v2ProPlus
|
| ;;
|
| *)
|
| echo -e "${ERROR}Unknown version: $1"
|
| exit 1
|
| ;;
|
| esac
|
| }
|
|
|
| echo -e "${INFO}Downloading Shared Inference Resources For Version ${MODEL_VERSION}..."
|
| download_shared_inference_files
|
| echo -e "${INFO}Downloading Version-Specific Inference Weights For ${MODEL_VERSION}..."
|
| download_version_files "$MODEL_VERSION"
|
| echo -e "${SUCCESS}Inference Pretrained Files Downloaded"
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|
|
| echo -e "${INFO}Downloading G2PWModel Files..."
|
| download_g2pw_files
|
| echo -e "${SUCCESS}G2PWModel Files Downloaded"
|
|
|
| if [ "$WORKFLOW" = false ]; then
|
| echo -e "${INFO}Installing PyTorch For CPU..."
|
| run_pip_quiet torch --index-url "https://download.pytorch.org/whl/cpu"
|
| fi
|
| echo -e "${SUCCESS}PyTorch Installed"
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|
|
| echo -e "${INFO}Installing Python Dependencies From requirements.txt..."
|
|
|
| hash -r
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|
|
| if [ -n "$PIP_INDEX_URL" ]; then
|
| echo -e "${INFO}Using pip index mirror: ${PIP_INDEX_URL}"
|
| run_pip_quiet -i "$PIP_INDEX_URL" -r requirements.txt
|
| else
|
| run_pip_quiet -r requirements.txt
|
| fi
|
|
|
| echo -e "${SUCCESS}Python Dependencies Installed"
|
|
|
| PY_PREFIX=$(python -c "import sys; print(sys.prefix)")
|
| PYOPENJTALK_PREFIX=$(python -c "import os, pyopenjtalk; print(os.path.dirname(pyopenjtalk.__file__))")
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|
|
| echo -e "${INFO}Downloading NLTK Data..."
|
| rm -rf nltk_data.zip
|
| run_wget_quiet "$NLTK_URL" -O nltk_data.zip
|
| unzip -q -o nltk_data.zip -d "$PY_PREFIX"
|
| rm -rf nltk_data.zip
|
| echo -e "${SUCCESS}NLTK Data Downloaded"
|
|
|
| echo -e "${INFO}Downloading Open JTalk Dict..."
|
| rm -rf open_jtalk_dic_utf_8-1.11.tar.gz
|
| run_wget_quiet "$PYOPENJTALK_URL" -O open_jtalk_dic_utf_8-1.11.tar.gz
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| tar -xzf open_jtalk_dic_utf_8-1.11.tar.gz -C "$PYOPENJTALK_PREFIX"
|
| rm -rf open_jtalk_dic_utf_8-1.11.tar.gz
|
| echo -e "${SUCCESS}Open JTalk Dic Downloaded"
|
|
|
| echo -e "${SUCCESS}Installation Completed"
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|
|