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| INSTALL_DIR=/usr/local/vits-simple-api | |
| RED='\033[0;31m' | |
| GREEN='\033[0;32m' | |
| YELLOW='\033[0;33m' | |
| PLAIN='\033[0m' | |
| declare -A EN_MESSAGES | |
| declare -A ZH_MESSAGES | |
| EN_MESSAGES=( | |
| ["ATTEMPT_DOWNLOAD"]="Attempting to download" | |
| ["FROM"]="from" | |
| ["DOWNLOAD_FAIL"]="Failed to download" | |
| ["FROM_ALL_URLS"]="from all provided URLs." | |
| ["DOWNLOADING"]="Downloading..." | |
| ["VERIFYING"]="Verifying..." | |
| ["UNZIPPING"]="Unzipping..." | |
| ["CHOOSE_VERSION"]="Which version of docker-compose.yaml do you want to download?" | |
| ["DOCKER_CPU"]="docker-compose.yaml (CPU version)" | |
| ["DOCKER_GPU"]="docker-compose-gpu.yaml (GPU version)" | |
| ["ENTER_CHOICE"]="Enter your choice (1 or 2): " | |
| ["INVALID_CHOICE"]="Invalid choice. Please enter 1 or 2." | |
| ["DOWNLOAD_CONFIG"]="Downloading configuration file shortly..." | |
| ["PULL_IMAGE"]="Do you want to start pulling the image? Enter 1 for yes or 2 for no" | |
| ["DOWNLOAD_DICT"]="Do you want to download the pyopenjtalk dictionary file? Enter 1 for yes or 2 for no" | |
| ["MUST_DOWNLOAD_JP"]="Japanese model must be downloaded." | |
| ["DOWNLOAD_VITS_CHINESE"]="Do you want to download the bert model for vits_chinese? Enter 1 for yes, 2 for no." | |
| ["MUST_DOWNLOAD_VITS_CHINESE"]="Using vits_chinese requires downloading these models, which will take up about 410MB." | |
| ["DOWNLOAD_BERT_VITS2"]="Do you want to download chinese-roberta-wwm-ext-large? Enter 1 for yes or 2 for no" | |
| ["MUST_DOWNLOAD_BERT_VITS2"]="To use Bert-VITS2, you must download these models, which will take up about 3.64GB." | |
| ["DOWNLOADED"]="File is downloaded correctly." | |
| ["CORRUPTED"]="File is corrupted or incomplete." | |
| ["INSTALL_COMPLETE"]="The upgrade or installation has been completed." | |
| ["CONFIG_DIR"]="The configuration file directory is" | |
| ["IMPORT_NOTICE"]="If the vits model is not imported, it cannot be used. Import the model in the configuration file directory." | |
| ["RESTART_NOTICE"]="After modifying the configuration file, restart the docker container for the modification to take effect." | |
| ["ISSUE_NOTICE"]="If you have any questions, please put them in the issues." | |
| ["GITHUB_LINK"]="https://github.com/Artrajz/vits-simple-api" | |
| ) | |
| ZH_MESSAGES=( | |
| ["ATTEMPT_DOWNLOAD"]="正在尝试下载" | |
| ["FROM"]="从" | |
| ["DOWNLOAD_FAIL"]="都下载失败" | |
| ["FROM_ALL_URLS"]="从所有提供的URLs" | |
| ["DOWNLOADING"]="正在下载..." | |
| ["VERIFYING"]="正在校验" | |
| ["UNZIPPING"]="正在解压..." | |
| ["CHOOSE_VERSION"]="你想下载哪个版本的docker-compose.yaml？" | |
| ["DOCKER_CPU"]="docker-compose.yaml (CPU版本)" | |
| ["DOCKER_GPU"]="docker-compose-gpu.yaml (GPU版本)" | |
| ["ENTER_CHOICE"]="请输入您的选择 (1 或 2): " | |
| ["INVALID_CHOICE"]="无效选择。 请重新输入 1 或 2。" | |
| ["DOWNLOAD_CONFIG"]="即将下载配置文件..." | |
| ["PULL_IMAGE"]="是否要开始拉取镜像？输入1表示是，2表示否。" | |
| ["DOWNLOAD_DICT"]="是否要下载pyopenjtalk的词典文件？输入1表示是，2表示否。" | |
| ["MUST_DOWNLOAD_JP"]="使用日语模型必须下载该词典文件，将占用大约102MB。" | |
| ["DOWNLOAD_VITS_CHINESE"]="是否要下载vits_chinese的bert模型？输入1表示是，2表示否。" | |
| ["MUST_DOWNLOAD_VITS_CHINESE"]="使用vits_chinese必须下载这些模型，将占用大约410MB。" | |
| ["DOWNLOAD_BERT_VITS2"]="是否要下载chinese-roberta-wwm-ext-large？输入1表示是，2表示否。" | |
| ["MUST_DOWNLOAD_BERT_VITS2"]="使用Bert-VITS2必须下载这些模型，将占用大约3.64GB。" | |
| ["DOWNLOADED"]="文件已正确下载。" | |
| ["CORRUPTED"]="文件已损坏或不完整。" | |
| ["INSTALL_COMPLETE"]="更新或安装已完成。" | |
| ["CONFIG_DIR"]="配置文件目录是" | |
| ["IMPORT_NOTICE"]="如果vits模型没有被导入，它是无法使用的。请在配置文件目录中导入模型。" | |
| ["RESTART_NOTICE"]="修改配置文件后，请重启docker容器以使修改生效。" | |
| ["ISSUE_NOTICE"]="如果你有任何问题，请在issues中提出，或者加入q群提问。" | |
| ["GITHUB_LINK"]="https://github.com/Artrajz/vits-simple-api" | |
| ) | |
| echo -e "${PLAIN}${GREEN}Choose a language/选择语言: ${PLAIN}" | |
| echo "1. English" | |
| echo "2. 中文" | |
| read -p "Enter your choice (1 or 2): " choice_language | |
| declare -A MESSAGES | |
| if [ "$choice_language" -eq 1 ]; then | |
| for key in "${!EN_MESSAGES[@]}"; do | |
| MESSAGES["$key"]="${EN_MESSAGES[$key]}" | |
| done | |
| else | |
| for key in "${!ZH_MESSAGES[@]}"; do | |
| MESSAGES["$key"]="${ZH_MESSAGES[$key]}" | |
| done | |
| fi | |
| mkdir -p $INSTALL_DIR | |
| cd $INSTALL_DIR | |
| download_with_fallback() { | |
| local filename=$1 | |
| shift # Shift arguments to the left to handle URLs | |
| local success=0 | |
| local url | |
| for url in "$@"; do | |
| echo -e "${YELLOW}${MESSAGES["ATTEMPT_DOWNLOAD"]} $filename ${MESSAGES["FROM"]} $url\n${PLAIN}" | |
| if wget -O "$INSTALL_DIR/$filename" "$url"; then | |
| success=1 | |
| break | |
| fi | |
| done | |
| if [ "$success" -ne 1 ]; then | |
| echo -e "${RED} $filename ${MESSAGES["FROM_ALL_URLS"]} ${MESSAGES["DOWNLOAD_FAIL"]}${PLAIN}" | |
| exit 1 | |
| fi | |
| } | |
| version_gt() { | |
| test "$(echo "$@" | tr " " "\n" | sort -V | head -n 1)" != "$1" | |
| } | |
| while true; do | |
| echo -e "${GREEN}${MESSAGES["CHOOSE_VERSION"]}${PLAIN}" | |
| echo -e "1. ${MESSAGES["DOCKER_CPU"]}" | |
| echo -e "2. ${MESSAGES["DOCKER_GPU"]}" | |
| read -p "${MESSAGES["ENTER_CHOICE"]}" choice_gpu | |
| case $choice_gpu in | |
| 1) | |
| echo -e "${MESSAGES["DOWNLOADING"]}" | |
| download_with_fallback docker-compose.yaml \ | |
| "https://raw.githubusercontent.com/Artrajz/vits-simple-api/main/docker-compose.yaml" \ | |
| "https://ghproxy.com/https://raw.githubusercontent.com/Artrajz/vits-simple-api/main/docker-compose.yaml" | |
| break | |
| ;; | |
| 2) | |
| echo -e "${MESSAGES["DOWNLOADING"]}" | |
| download_with_fallback docker-compose.yaml \ | |
| "https://raw.githubusercontent.com/Artrajz/vits-simple-api/main/docker-compose-gpu.yaml" \ | |
| "https://ghproxy.com/https://raw.githubusercontent.com/Artrajz/vits-simple-api/main/docker-compose-gpu.yaml" | |
| break | |
| ;; | |
| *) | |
| echo -e "${RED}${MESSAGES["INVALID_CHOICE"]}${PLAIN}" | |
| ;; | |
| esac | |
| done | |
| if [ "$choice_gpu" -eq 2 ]; then | |
| DOCKER_VERSION=$(docker version --format '{{.Server.Version}}') | |
| MIN_DOCKER_VERSION="19.03" | |
| if version_gt $MIN_DOCKER_VERSION $DOCKER_VERSION; then | |
| echo -e "${RED}Your Docker version ($DOCKER_VERSION) does not support GPU. You need at least version $MIN_DOCKER_VERSION.${PLAIN}" | |
| exit 1 | |
| fi | |
| fi | |
| if ! command -v docker-compose &>/dev/null; then | |
| echo -e "${RED}docker-compose could not be found.${PLAIN}" | |
| exit 1 | |
| fi | |
| echo -e "${GREEN}${MESSAGES["PULL_IMAGE"]}${PLAIN}" | |
| read -p "${MESSAGES["ENTER_CHOICE"]}" choice_pull | |
| if [ "$choice_pull" -eq 1 ]; then | |
| docker compose pull | |
| docker compose up -d | |
| fi | |
| echo -e "${YELLOW}${MESSAGES["DOWNLOAD_CONFIG"]}${PLAIN}" | |
| if [ ! -f config.py ]; then | |
| download_with_fallback config.py \ | |
| "https://raw.githubusercontent.com/Artrajz/vits-simple-api/main/config.py" \ | |
| "https://ghproxy.com/https://raw.githubusercontent.com/Artrajz/vits-simple-api/main/config.py" | |
| fi | |
| if [ ! -f gunicorn_config.py ]; then | |
| download_with_fallback gunicorn_config.py \ | |
| "https://raw.githubusercontent.com/Artrajz/vits-simple-api/main/gunicorn_config.py" \ | |
| "https://ghproxy.com/https://raw.githubusercontent.com/Artrajz/vits-simple-api/main/gunicorn_config.py" | |
| fi | |
| download_with_fallback config.example.py \ | |
| "https://raw.githubusercontent.com/Artrajz/vits-simple-api/main/config.py" \ | |
| "https://ghproxy.com/https://raw.githubusercontent.com/Artrajz/vits-simple-api/main/config.py" | |
| download_with_fallback gunicorn_config.example.py \ | |
| "https://raw.githubusercontent.com/Artrajz/vits-simple-api/main/gunicorn_config.py" \ | |
| "https://ghproxy.com/https://raw.githubusercontent.com/Artrajz/vits-simple-api/main/gunicorn_config.py" | |
| echo -e "${GREEN}${MESSAGES["DOWNLOAD_DICT"]}${PLAIN}" | |
| echo -e "${GREEN}${MESSAGES["MUST_DOWNLOAD_JP"]}${PLAIN}" | |
| read -p "${MESSAGES["ENTER_CHOICE"]}" choice_download_pyopenjtalk | |
| if [ "$choice_download_pyopenjtalk" -eq 1 ]; then | |
| mkdir -p pyopenjtalk | |
| echo -e "${MESSAGES["DOWNLOADING"]}" | |
| download_with_fallback open_jtalk_dic_utf_8-1.11.tar.gz \ | |
| "https://github.com/r9y9/open_jtalk/releases/download/v1.11.1/open_jtalk_dic_utf_8-1.11.tar.gz" \ | |
| "https://ghproxy.com/https://github.com/r9y9/open_jtalk/releases/download/v1.11.1/open_jtalk_dic_utf_8-1.11.tar.gz" | |
| echo -e "${MESSAGES["UNZIPPING"]}" | |
| tar -xzvf open_jtalk_dic_utf_8-1.11.tar.gz -C pyopenjtalk/ | |
| rm open_jtalk_dic_utf_8-1.11.tar.gz | |
| fi | |
| echo -e "${GREEN}${MESSAGES["DOWNLOAD_VITS_CHINESE"]}${PLAIN}" | |
| echo -e "${GREEN}${MESSAGES["MUST_DOWNLOAD_VITS_CHINESE"]}${PLAIN}" | |
| read -p "${MESSAGES["ENTER_CHOICE"]}" choice_download_vits_chinese | |
| if [ "$choice_download_vits_chinese" -eq 1 ]; then | |
| mkdir -p vits/bert | |
| EXPECTED_MD5="dea78034433141adc8002404aa1b3184" | |
| FILE_PATH="vits/bert/prosody_model.pt" | |
| echo -e "${MESSAGES["VERIFYING"]}$FILE_PATH" | |
| ACTUAL_MD5=$(md5sum $FILE_PATH | awk '{print $1}') | |
| if [ "$EXPECTED_MD5" == "$ACTUAL_MD5" ]; then | |
| echo "${MESSAGES["DOWNLOADED"]}" | |
| else | |
| echo "${MESSAGES["CORRUPTED"]}" | |
| download_with_fallback vits/bert/prosody_model.pt \ | |
| "https://huggingface.co/spaces/maxmax20160403/vits_chinese/resolve/main/bert/prosody_model.pt" | |
| fi | |
| fi | |
| echo -e "${GREEN}${MESSAGES["DOWNLOAD_BERT_VITS2"]}${PLAIN}" | |
| echo -e "${GREEN}${MESSAGES["MUST_DOWNLOAD_BERT_VITS2"]}${PLAIN}" | |
| read -p "${MESSAGES["ENTER_CHOICE"]}" choice_download_bert_vits2 | |
| if [ "$choice_download_bert_vits2" -eq 1 ]; then | |
| mkdir -p bert_vits2/bert/chinese-roberta-wwm-ext-large | |
| EXPECTED_MD5="78ef42421495cb23372bef9d069a75f3" | |
| FILE_PATH="bert_vits2/bert/chinese-roberta-wwm-ext-large/flax_model.msgpack" | |
| echo -e "${MESSAGES["VERIFYING"]}$FILE_PATH" | |
| ACTUAL_MD5=$(md5sum $FILE_PATH | awk '{print $1}') | |
| if [ "$EXPECTED_MD5" == "$ACTUAL_MD5" ]; then | |
| echo "${MESSAGES["DOWNLOADED"]}" | |
| else | |
| echo "${MESSAGES["CORRUPTED"]}" | |
| download_with_fallback bert_vits2/bert/chinese-roberta-wwm-ext-large/flax_model.msgpack \ | |
| "https://huggingface.co/hfl/chinese-roberta-wwm-ext-large/resolve/main/flax_model.msgpack" | |
| fi | |
| EXPECTED_MD5="15d7435868fef1bd4222ff7820149a2a" | |
| FILE_PATH="bert_vits2/bert/chinese-roberta-wwm-ext-large/pytorch_model.bin" | |
| echo -e "${MESSAGES["VERIFYING"]}$FILE_PATH" | |
| ACTUAL_MD5=$(md5sum $FILE_PATH | awk '{print $1}') | |
| if [ "$EXPECTED_MD5" == "$ACTUAL_MD5" ]; then | |
| echo "${MESSAGES["DOWNLOADED"]}" | |
| else | |
| echo ${MESSAGES["CORRUPTED"]} | |
| download_with_fallback bert_vits2/bert/chinese-roberta-wwm-ext-large/pytorch_model.bin \ | |
| "https://huggingface.co/hfl/chinese-roberta-wwm-ext-large/resolve/main/pytorch_model.bin" | |
| fi | |
| EXPECTED_MD5="d15991416bd4a86fa127c70d3c0f4779" | |
| FILE_PATH="bert_vits2/bert/chinese-roberta-wwm-ext-large/tf_model.h5" | |
| echo -e "${MESSAGES["VERIFYING"]}$FILE_PATH" | |
| ACTUAL_MD5=$(md5sum $FILE_PATH | awk '{print $1}') | |
| if [ "$EXPECTED_MD5" == "$ACTUAL_MD5" ]; then | |
| echo "${MESSAGES["DOWNLOADED"]}" | |
| else | |
| echo "${MESSAGES["CORRUPTED"]}" | |
| download_with_fallback bert_vits2/bert/chinese-roberta-wwm-ext-large/tf_model.h5 \ | |
| "https://huggingface.co/hfl/chinese-roberta-wwm-ext-large/resolve/main/tf_model.h5" | |
| fi | |
| fi | |
| if [ "$choice_gpu" -eq 2 ]; then | |
| if ! docker run --gpus all artrajz/vits-simple-api:latest-gpu nvidia-smi &>/dev/null; then | |
| echo -e "${RED}Your Docker does not seem to support GPU or NVIDIA Docker is not installed properly.${PLAIN}" | |
| exit 1 | |
| fi | |
| fi | |
| echo -e "\n${MESSAGES["INSTALL_COMPLETE"]}" | |
| echo -e "${MESSAGES["CONFIG_DIR"]} $(realpath $INSTALL_DIR)" | |
| echo -e "${YELLOW}${MESSAGES["IMPORT_NOTICE"]}${PLAIN}" | |
| echo -e "${YELLOW}${MESSAGES["RESTART_NOTICE"]}${PLAIN}" | |
| echo -e "${MESSAGES["ISSUE_NOTICE"]}" | |
| echo -e "${MESSAGES["GITHUB_LINK"]}" | |