一、下载Ollama

在线安装：

在linux中输入命令curl -fsSL https://ollama.com/install.sh | sh
由于在linux下载ollama需要经过外网，网络会不稳定，很容易造成连接超时的问题。

离线安装：

步骤一： 下载Ollama离线版本
在linux服务器中输入命令：lscpu查看服务器型号
然后再该地址中下载Ollama离线版本：
https://github.com/ollama/ollama/releases
步骤二： 下载install.sh文件修改内容
地址为：https://ollama.com/install.sh

修改位置1：
注释掉在线下载ollama的命令
修改位置2：

修改ollama安装地址，将ollama离线版本与install放到一起
install.sh最终修改的版本：

#!/bin/sh# This script installs Ollama on Linux.# It detects the current operating system architecture and installs the appropriate version of Ollama.set -eustatus() { echo ">>> $*" >&2; }error() { echo "ERROR $*"; exit 1; }warning() { echo "WARNING: $*"; }TEMP_DIR=$(mktemp -d)cleanup() { rm -rf $TEMP_DIR; }trap cleanup EXITavailable() { command -v $1 >/dev/null; }require() {    local MISSING=''    for TOOL in $*; do        if ! available $TOOL; then            MISSING="$MISSING $TOOL"        fi    done    echo $MISSING}[ "$(uname -s)" = "Linux" ] || error 'This script is intended to run on Linux only.'ARCH=$(uname -m)case "$ARCH" in    x86_64) ARCH="amd64" ;;    aarch64|arm64) ARCH="arm64" ;;    *) error "Unsupported architecture: $ARCH" ;;esacIS_WSL2=falseKERN=$(uname -r)case "$KERN" in    *icrosoft*WSL2 | *icrosoft*wsl2) IS_WSL2=true;;    *icrosoft) error "Microsoft WSL1 is not currently supported. Please upgrade to WSL2 with 'wsl --set-version <distro> 2'" ;;    *) ;;esacVER_PARAM="${OLLAMA_VERSION:+?version=$OLLAMA_VERSION}"SUDO=if [ "$(id -u)" -ne 0 ]; then    # Running as root, no need for sudo    if ! available sudo; then        error "This script requires superuser permissions. Please re-run as root."    fi    SUDO="sudo"fiNEEDS=$(require curl awk grep sed tee xargs)if [ -n "$NEEDS" ]; then    status "ERROR: The following tools are required but missing:"    for NEED in $NEEDS; do        echo "  - $NEED"    done    exit 1fistatus "Downloading ollama..."# curl --fail --show-error --location --progress-bar -o $TEMP_DIR/ollama "https://ollama.com/download/ollama-linux-${ARCH}${VER_PARAM}"for BINDIR in /usr/local/bin /usr/bin /bin; do    echo $PATH | grep -q $BINDIR && break || continuedonestatus "Installing ollama to $BINDIR..."$SUDO install -o0 -g0 -m755 -d $BINDIR# $SUDO install -o0 -g0 -m755 $TEMP_DIR/ollama $BINDIR/ollama$SUDO install -o0 -g0 -m755 ./ollama-linux-amd64 $BINDIR/ollamainstall_success() {    status 'The Ollama API is now available at 127.0.0.1:11434.'    status 'Install complete. Run "ollama" from the command line.'}trap install_success EXIT# Everything from this point onwards is optional.configure_systemd() {    if ! id ollama >/dev/null 2>&1; then        status "Creating ollama user..."        $SUDO useradd -r -s /bin/false -U -m -d /usr/share/ollama ollama    fi    if getent group render >/dev/null 2>&1; then        status "Adding ollama user to render group..."        $SUDO usermod -a -G render ollama    fi    if getent group video >/dev/null 2>&1; then        status "Adding ollama user to video group..."        $SUDO usermod -a -G video ollama    fi    status "Adding current user to ollama group..."    $SUDO usermod -a -G ollama $(whoami)    status "Creating ollama systemd service..."    cat <<EOF | $SUDO tee /etc/systemd/system/ollama.service >/dev/null[Unit]Description=Ollama ServiceAfter=network-online.target[Service]ExecStart=$BINDIR/ollama serveUser=ollamaGroup=ollamaRestart=alwaysRestartSec=3Environment="PATH=$PATH"[Install]WantedBy=default.targetEOF    SYSTEMCTL_RUNNING="$(systemctl is-system-running || true)"    case $SYSTEMCTL_RUNNING in        running|degraded)            status "Enabling and starting ollama service..."            $SUDO systemctl daemon-reload            $SUDO systemctl enable ollama            start_service() { $SUDO systemctl restart ollama; }            trap start_service EXIT            ;;    esac}if available systemctl; then    configure_systemdfi# WSL2 only supports GPUs via nvidia passthrough# so check for nvidia-smi to determine if GPU is availableif [ "$IS_WSL2" = true ]; then    if available nvidia-smi && [ -n "$(nvidia-smi | grep -o "CUDA Version: [0-9]*/.[0-9]*")" ]; then        status "Nvidia GPU detected."    fi    install_success    exit 0fi# Install GPU dependencies on Linuxif ! available lspci && ! available lshw; then    warning "Unable to detect NVIDIA/AMD GPU. Install lspci or lshw to automatically detect and install GPU dependencies."    exit 0ficheck_gpu() {    # Look for devices based on vendor ID for NVIDIA and AMD    case $1 in        lspci)            case $2 in                nvidia) available lspci && lspci -d '10de:' | grep -q 'NVIDIA' || return 1 ;;                amdgpu) available lspci && lspci -d '1002:' | grep -q 'AMD' || return 1 ;;            esac ;;        lshw)            case $2 in                nvidia) available lshw && $SUDO lshw -c display -numeric | grep -q 'vendor: .* /[10DE/]' || return 1 ;;                amdgpu) available lshw && $SUDO lshw -c display -numeric | grep -q 'vendor: .* /[1002/]' || return 1 ;;            esac ;;        nvidia-smi) available nvidia-smi || return 1 ;;    esac}if check_gpu nvidia-smi; then    status "NVIDIA GPU installed."    exit 0fiif ! check_gpu lspci nvidia && ! check_gpu lshw nvidia && ! check_gpu lspci amdgpu && ! check_gpu lshw amdgpu; then    install_success    warning "No NVIDIA/AMD GPU detected. Ollama will run in CPU-only mode."    exit 0fiif check_gpu lspci amdgpu || check_gpu lshw amdgpu; then    # Look for pre-existing ROCm v6 before downloading the dependencies    for search in "${HIP_PATH:-''}" "${ROCM_PATH:-''}" "/opt/rocm" "/usr/lib64"; do        if [ -n "${search}" ] && [ -e "${search}/libhipblas.so.2" -o -e "${search}/lib/libhipblas.so.2" ]; then            status "Compatible AMD GPU ROCm library detected at ${search}"            install_success            exit 0        fi    done    status "Downloading AMD GPU dependencies..."    $SUDO rm -rf /usr/share/ollama/lib    $SUDO chmod o+x /usr/share/ollama    $SUDO install -o ollama -g ollama -m 755 -d /usr/share/ollama/lib/rocm    curl --fail --show-error --location --progress-bar "https://ollama.com/download/ollama-linux-amd64-rocm.tgz${VER_PARAM}" /        | $SUDO tar zx --owner ollama --group ollama -C /usr/share/ollama/lib/rocm .    install_success    status "AMD GPU ready."    exit 0fi# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#rhel-7-centos-7# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#rhel-8-rocky-8# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#rhel-9-rocky-9# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#fedorainstall_cuda_driver_yum() {    status 'Installing NVIDIA repository...'    case $PACKAGE_MANAGER in        yum)            $SUDO $PACKAGE_MANAGER -y install yum-utils            $SUDO $PACKAGE_MANAGER-config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m)/cuda-$1$2.repo            ;;        dnf)            $SUDO $PACKAGE_MANAGER config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m)/cuda-$1$2.repo            ;;    esac    case $1 in        rhel)            status 'Installing EPEL repository...'            # EPEL is required for third-party dependencies such as dkms and libvdpau            $SUDO $PACKAGE_MANAGER -y install https://dl.fedoraproject.org/pub/epel/epel-release-latest-$2.noarch.rpm || true            ;;    esac    status 'Installing CUDA driver...'    if [ "$1" = 'centos' ] || [ "$1$2" = 'rhel7' ]; then        $SUDO $PACKAGE_MANAGER -y install nvidia-driver-latest-dkms    fi    $SUDO $PACKAGE_MANAGER -y install cuda-drivers}# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#ubuntu# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#debianinstall_cuda_driver_apt() {    status 'Installing NVIDIA repository...'    curl -fsSL -o $TEMP_DIR/cuda-keyring.deb https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m)/cuda-keyring_1.1-1_all.deb    case $1 in        debian)            status 'Enabling contrib sources...'            $SUDO sed 's/main/contrib/' < /etc/apt/sources.list | $SUDO tee /etc/apt/sources.list.d/contrib.list > /dev/null            if [ -f "/etc/apt/sources.list.d/debian.sources" ]; then                $SUDO sed 's/main/contrib/' < /etc/apt/sources.list.d/debian.sources | $SUDO tee /etc/apt/sources.list.d/contrib.sources > /dev/null            fi            ;;    esac    status 'Installing CUDA driver...'    $SUDO dpkg -i $TEMP_DIR/cuda-keyring.deb    $SUDO apt-get update    [ -n "$SUDO" ] && SUDO_E="$SUDO -E" || SUDO_E=    DEBIAN_FRONTEND=noninteractive $SUDO_E apt-get -y install cuda-drivers -q}if [ ! -f "/etc/os-release" ]; then    error "Unknown distribution. Skipping CUDA installation."fi. /etc/os-releaseOS_NAME=$IDOS_VERSION=$VERSION_IDPACKAGE_MANAGER=for PACKAGE_MANAGER in dnf yum apt-get; do    if available $PACKAGE_MANAGER; then        break    fidoneif [ -z "$PACKAGE_MANAGER" ]; then    error "Unknown package manager. Skipping CUDA installation."fiif ! check_gpu nvidia-smi || [ -z "$(nvidia-smi | grep -o "CUDA Version: [0-9]*/.[0-9]*")" ]; then    case $OS_NAME in        centos|rhel) install_cuda_driver_yum 'rhel' $(echo $OS_VERSION | cut -d '.' -f 1) ;;        rocky) install_cuda_driver_yum 'rhel' $(echo $OS_VERSION | cut -c1) ;;        fedora) [ $OS_VERSION -lt '37' ] && install_cuda_driver_yum $OS_NAME $OS_VERSION || install_cuda_driver_yum $OS_NAME '37';;        amzn) install_cuda_driver_yum 'fedora' '37' ;;        debian) install_cuda_driver_apt $OS_NAME $OS_VERSION ;;        ubuntu) install_cuda_driver_apt $OS_NAME $(echo $OS_VERSION | sed 's//.//') ;;        *) exit ;;    esacfiif ! lsmod | grep -q nvidia || ! lsmod | grep -q nvidia_uvm; then    KERNEL_RELEASE="$(uname -r)"    case $OS_NAME in        rocky) $SUDO $PACKAGE_MANAGER -y install kernel-devel kernel-headers ;;        centos|rhel|amzn) $SUDO $PACKAGE_MANAGER -y install kernel-devel-$KERNEL_RELEASE kernel-headers-$KERNEL_RELEASE ;;        fedora) $SUDO $PACKAGE_MANAGER -y install kernel-devel-$KERNEL_RELEASE ;;        debian|ubuntu) $SUDO apt-get -y install linux-headers-$KERNEL_RELEASE ;;        *) exit ;;    esac    NVIDIA_CUDA_VERSION=$($SUDO dkms status | awk -F: '/added/ { print $1 }')    if [ -n "$NVIDIA_CUDA_VERSION" ]; then        $SUDO dkms install $NVIDIA_CUDA_VERSION    fi    if lsmod | grep -q nouveau; then        status 'Reboot to complete NVIDIA CUDA driver install.'        exit 0    fi    $SUDO modprobe nvidia    $SUDO modprobe nvidia_uvmfi# make sure the NVIDIA modules are loaded on boot with nvidia-persistencedif command -v nvidia-persistenced > /dev/null 2>&1; then    $SUDO touch /etc/modules-load.d/nvidia.conf    MODULES="nvidia nvidia-uvm"    for MODULE in $MODULES; do        if ! grep -qxF "$MODULE" /etc/modules-load.d/nvidia.conf; then            echo "$MODULE" | sudo tee -a /etc/modules-load.d/nvidia.conf > /dev/null        fi    donefistatus "NVIDIA GPU ready."install_success

出现该内容说明Ollama已经安装完成

二、启动Nginx并部署Vue

启动nginx命令：systemctl start nginx.service
查看nginx状态：systemctl status nginx.service
关闭nginx命令：systemctl stop nginx.service

修改子配置文件，因为子配置文件内是写http的内容。
nginx服务所在地址为：/etc/nginx/sites-available
进入该目录编辑default文件：vim default

index index.html index.htm index.nginx-debian.html;  # First attempt to serve request as file, then        # as directory, then fall back to displaying a 404.        try_files $uri $uri/ @router;}location @router {        rewrite ^.*$ /index.html last;}

如果你前端使用的是vue并且用了vue-router，那么就需要配置该代码，否则你进行router跳转的时候，就会出现404的问题。

三、启动Python脚本

进入存放python脚本的目录，运行命令：python xxx.py。运行脚本后，系统可能会提示有一些模块没有安装，按照提示安装即可。
命令：pip install module_name
其中可能有些脚本提示不对，比如：
ModuleNotFoundError: No module named 'docx'
如果出现这个问题，不能直接安装docx模块，而是应该安装python-docx。
将该安装的库全部安装后，进入放置python脚本的目录启动入口文件，短暂启动命令：python ai_analysis.py

持久后台运行命令：
nohup python ai_analysis.py /opt/app/llm_python/ai_analysis_project/log 2>&1

四、目前项目需要的库

使用MimiCPM需要的库，官方测试所用的环境：
Pillow10.1.0
torch2.1.2 / 1.13.0（原本的库版本）
torchvision0.16.2 / 0.17.1（原本的库版本）
transformers4.40.0
sentencepiece0.1.99
accelerate0.30.1
bitsandbytes==0.43.1

AI分析所需要的库
langchain
langchain_community

分析文档所需要的库
pandasai
python-docx
fitz
faiss-gpu (conda install faiss-gpu -c pytorch)