text-generation-webui/one_click.py

import argparse
import glob
import hashlib
import os
import platform
import re
import signal
import site
import subprocess
import sys

# Remove the '# ' from the following lines as needed for your AMD GPU on Linux
# os.environ["ROCM_PATH"] = '/opt/rocm'
# os.environ["HSA_OVERRIDE_GFX_VERSION"] = '10.3.0'
# os.environ["HCC_AMDGPU_TARGET"] = 'gfx1030'


# Define the required PyTorch version
TORCH_VERSION = "2.3.1"
TORCHVISION_VERSION = "0.18.1"
TORCHAUDIO_VERSION = "2.3.1"

# Environment
script_dir = os.getcwd()
conda_env_path = os.path.join(script_dir, "installer_files", "env")

# Command-line flags
cmd_flags_path = os.path.join(script_dir, "CMD_FLAGS.txt")
if os.path.exists(cmd_flags_path):
    with open(cmd_flags_path, 'r') as f:
        CMD_FLAGS = ' '.join(line.strip().rstrip('\\').strip() for line in f if line.strip().rstrip('\\').strip() and not line.strip().startswith('#'))
else:
    CMD_FLAGS = ''

flags = f"{' '.join([flag for flag in sys.argv[1:] if flag != '--update-wizard'])} {CMD_FLAGS}"


def signal_handler(sig, frame):
    sys.exit(0)


signal.signal(signal.SIGINT, signal_handler)


def is_linux():
    return sys.platform.startswith("linux")


def is_windows():
    return sys.platform.startswith("win")


def is_macos():
    return sys.platform.startswith("darwin")


def is_x86_64():
    return platform.machine() == "x86_64"


def cpu_has_avx2():
    try:
        import cpuinfo

        info = cpuinfo.get_cpu_info()
        if 'avx2' in info['flags']:
            return True
        else:
            return False
    except:
        return True


def cpu_has_amx():
    try:
        import cpuinfo

        info = cpuinfo.get_cpu_info()
        if 'amx' in info['flags']:
            return True
        else:
            return False
    except:
        return True


def torch_version():
    site_packages_path = None
    for sitedir in site.getsitepackages():
        if "site-packages" in sitedir and conda_env_path in sitedir:
            site_packages_path = sitedir
            break

    if site_packages_path:
        torch_version_file = open(os.path.join(site_packages_path, 'torch', 'version.py')).read().splitlines()
        torver = [line for line in torch_version_file if line.startswith('__version__')][0].split('__version__ = ')[1].strip("'")
    else:
        from torch import __version__ as torver

    return torver


def update_pytorch():
    print_big_message("Checking for PyTorch updates")

    torver = torch_version()
    is_cuda = '+cu' in torver
    is_cuda118 = '+cu118' in torver  # 2.1.0+cu118
    is_rocm = '+rocm' in torver  # 2.0.1+rocm5.4.2
    is_intel = '+cxx11' in torver  # 2.0.1a0+cxx11.abi
    is_cpu = '+cpu' in torver  # 2.0.1+cpu

    install_pytorch = f"python -m pip install --upgrade torch=={TORCH_VERSION} torchvision=={TORCHVISION_VERSION} torchaudio=={TORCHAUDIO_VERSION} "

    if is_cuda118:
        install_pytorch += "--index-url https://download.pytorch.org/whl/cu118"
    elif is_cuda:
        install_pytorch += "--index-url https://download.pytorch.org/whl/cu121"
    elif is_rocm:
        install_pytorch += "--index-url https://download.pytorch.org/whl/rocm5.6"
    elif is_cpu:
        install_pytorch += "--index-url https://download.pytorch.org/whl/cpu"
    elif is_intel:
        if is_linux():
            install_pytorch = "python -m pip install --upgrade torch==2.1.0a0 torchvision==0.16.0a0 torchaudio==2.1.0a0 intel-extension-for-pytorch==2.1.10+xpu --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/"
        else:
            install_pytorch = "python -m pip install --upgrade torch==2.1.0a0 torchvision==0.16.0a0 torchaudio==2.1.0a0 intel-extension-for-pytorch==2.1.10 --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/"

    run_cmd(f"{install_pytorch}", assert_success=True, environment=True)


def is_installed():
    site_packages_path = None
    for sitedir in site.getsitepackages():
        if "site-packages" in sitedir and conda_env_path in sitedir:
            site_packages_path = sitedir
            break

    if site_packages_path:
        return os.path.isfile(os.path.join(site_packages_path, 'torch', '__init__.py'))
    else:
        return os.path.isdir(conda_env_path)


def check_env():
    # If we have access to conda, we are probably in an environment
    conda_exist = run_cmd("conda", environment=True, capture_output=True).returncode == 0
    if not conda_exist:
        print("Conda is not installed. Exiting...")
        sys.exit(1)

    # Ensure this is a new environment and not the base environment
    if os.environ["CONDA_DEFAULT_ENV"] == "base":
        print("Create an environment for this project and activate it. Exiting...")
        sys.exit(1)


def clear_cache():
    run_cmd("conda clean -a -y", environment=True)
    run_cmd("python -m pip cache purge", environment=True)


def print_big_message(message):
    message = message.strip()
    lines = message.split('\n')
    print("\n\n*******************************************************************")
    for line in lines:
        print("*", line)

    print("*******************************************************************\n\n")


def calculate_file_hash(file_path):
    p = os.path.join(script_dir, file_path)
    if os.path.isfile(p):
        with open(p, 'rb') as f:
            return hashlib.sha256(f.read()).hexdigest()
    else:
        return ''


def run_cmd(cmd, assert_success=False, environment=False, capture_output=False, env=None):
    # Use the conda environment
    if environment:
        if is_windows():
            conda_bat_path = os.path.join(script_dir, "installer_files", "conda", "condabin", "conda.bat")
            cmd = f'"{conda_bat_path}" activate "{conda_env_path}" >nul && {cmd}'
        else:
            conda_sh_path = os.path.join(script_dir, "installer_files", "conda", "etc", "profile.d", "conda.sh")
            cmd = f'. "{conda_sh_path}" && conda activate "{conda_env_path}" && {cmd}'

    # Run shell commands
    result = subprocess.run(cmd, shell=True, capture_output=capture_output, env=env)

    # Assert the command ran successfully
    if assert_success and result.returncode != 0:
        print(f"Command '{cmd}' failed with exit status code '{str(result.returncode)}'.\n\nExiting now.\nTry running the start/update script again.")
        sys.exit(1)

    return result


def generate_alphabetic_sequence(index):
    result = ''
    while index >= 0:
        index, remainder = divmod(index, 26)
        result = chr(ord('A') + remainder) + result
        index -= 1

    return result


def get_user_choice(question, options_dict):
    print()
    print(question)
    print()

    for key, value in options_dict.items():
        print(f"{key}) {value}")

    print()

    choice = input("Input> ").upper()
    while choice not in options_dict.keys():
        print("Invalid choice. Please try again.")
        choice = input("Input> ").upper()

    return choice


def install_webui():

    # Ask the user for the GPU vendor
    if "GPU_CHOICE" in os.environ:
        choice = os.environ["GPU_CHOICE"].upper()
        print_big_message(f"Selected GPU choice \"{choice}\" based on the GPU_CHOICE environment variable.")
    else:
        choice = get_user_choice(
            "What is your GPU?",
            {
                'A': 'NVIDIA',
                'B': 'AMD (Linux/MacOS only. Requires ROCm SDK 5.6 on Linux)',
                'C': 'Apple M Series',
                'D': 'Intel Arc (IPEX)',
                'N': 'None (I want to run models in CPU mode)'
            },
        )

    gpu_choice_to_name = {
        "A": "NVIDIA",
        "B": "AMD",
        "C": "APPLE",
        "D": "INTEL",
        "N": "NONE"
    }

    selected_gpu = gpu_choice_to_name[choice]
    use_cuda118 = "N"

    # Write a flag to CMD_FLAGS.txt for CPU mode
    if selected_gpu == "NONE":
        with open(cmd_flags_path, 'r+') as cmd_flags_file:
            if "--cpu" not in cmd_flags_file.read():
                print_big_message("Adding the --cpu flag to CMD_FLAGS.txt.")
                cmd_flags_file.write("\n--cpu\n")

    # Check if the user wants CUDA 11.8
    elif any((is_windows(), is_linux())) and selected_gpu == "NVIDIA":
        if "USE_CUDA118" in os.environ:
            use_cuda118 = "Y" if os.environ.get("USE_CUDA118", "").lower() in ("yes", "y", "true", "1", "t", "on") else "N"
        else:
            print("\nDo you want to use CUDA 11.8 instead of 12.1?\nOnly choose this option if your GPU is very old (Kepler or older).\n\nFor RTX and GTX series GPUs, say \"N\".\nIf unsure, say \"N\".\n")
            use_cuda118 = input("Input (Y/N)> ").upper().strip('"\'').strip()
            while use_cuda118 not in 'YN':
                print("Invalid choice. Please try again.")
                use_cuda118 = input("Input> ").upper().strip('"\'').strip()

        if use_cuda118 == 'Y':
            print("CUDA: 11.8")
        else:
            print("CUDA: 12.1")

    # No PyTorch for AMD on Windows (?)
    elif is_windows() and selected_gpu == "AMD":
        print("PyTorch setup on Windows is not implemented yet. Exiting...")
        sys.exit(1)

    # Find the Pytorch installation command
    install_pytorch = f"python -m pip install torch=={TORCH_VERSION} torchvision=={TORCHVISION_VERSION} torchaudio=={TORCHAUDIO_VERSION} "

    if selected_gpu == "NVIDIA":
        if use_cuda118 == 'Y':
            install_pytorch += "--index-url https://download.pytorch.org/whl/cu118"
        else:
            install_pytorch += "--index-url https://download.pytorch.org/whl/cu121"
    elif selected_gpu == "AMD":
        install_pytorch += "--index-url https://download.pytorch.org/whl/rocm5.6"
    elif selected_gpu in ["APPLE", "NONE"]:
        install_pytorch += "--index-url https://download.pytorch.org/whl/cpu"
    elif selected_gpu == "INTEL":
        if is_linux():
            install_pytorch = "python -m pip install torch==2.1.0a0 torchvision==0.16.0a0 torchaudio==2.1.0a0 intel-extension-for-pytorch==2.1.10+xpu --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/"
        else:
            install_pytorch = "python -m pip install torch==2.1.0a0 torchvision==0.16.0a0 torchaudio==2.1.0a0 intel-extension-for-pytorch==2.1.10 --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/"

    # Install Git and then Pytorch
    print_big_message("Installing PyTorch.")
    run_cmd(f"conda install -y -k ninja git && {install_pytorch} && python -m pip install py-cpuinfo==9.0.0", assert_success=True, environment=True)

    if selected_gpu == "INTEL":
        # Install oneAPI dependencies via conda
        print_big_message("Installing Intel oneAPI runtime libraries.")
        run_cmd("conda install -y -c intel dpcpp-cpp-rt=2024.0 mkl-dpcpp=2024.0")
        # Install libuv required by Intel-patched torch
        run_cmd("conda install -y libuv")

    # Install the webui requirements
    update_requirements(initial_installation=True)


def get_extensions_names():
    return [foldername for foldername in os.listdir('extensions') if os.path.isfile(os.path.join('extensions', foldername, 'requirements.txt'))]


def install_extensions_requirements():
    print_big_message("Installing extensions requirements.\nSome of these may fail on Windows.\nDon\'t worry if you see error messages, as they will not affect the main program.")
    extensions = get_extensions_names()
    for i, extension in enumerate(extensions):
        print(f"\n\n--- [{i+1}/{len(extensions)}]: {extension}\n\n")
        extension_req_path = os.path.join("extensions", extension, "requirements.txt")
        run_cmd(f"python -m pip install -r {extension_req_path} --upgrade", assert_success=False, environment=True)


def update_requirements(initial_installation=False, pull=True):
    # Create .git directory if missing
    if not os.path.exists(os.path.join(script_dir, ".git")):
        git_creation_cmd = 'git init -b main && git remote add origin https://github.com/oobabooga/text-generation-webui && git fetch && git symbolic-ref refs/remotes/origin/HEAD refs/remotes/origin/main && git reset --hard origin/main && git branch --set-upstream-to=origin/main'
        run_cmd(git_creation_cmd, environment=True, assert_success=True)

    if pull:
        print_big_message("Updating the local copy of the repository with \"git pull\"")

        files_to_check = [
            'start_linux.sh', 'start_macos.sh', 'start_windows.bat', 'start_wsl.bat',
            'update_wizard_linux.sh', 'update_wizard_macos.sh', 'update_wizard_windows.bat', 'update_wizard_wsl.bat',
            'one_click.py'
        ]

        before_pull_hashes = {file_name: calculate_file_hash(file_name) for file_name in files_to_check}
        run_cmd("git pull --autostash", assert_success=True, environment=True)
        after_pull_hashes = {file_name: calculate_file_hash(file_name) for file_name in files_to_check}

        # Check for differences in installation file hashes
        for file_name in files_to_check:
            if before_pull_hashes[file_name] != after_pull_hashes[file_name]:
                print_big_message(f"File '{file_name}' was updated during 'git pull'. Please run the script again.")
                exit(1)

    if os.environ.get("INSTALL_EXTENSIONS", "").lower() in ("yes", "y", "true", "1", "t", "on"):
        install_extensions_requirements()

    # Update PyTorch
    if not initial_installation:
        update_pytorch()

    # Detect the PyTorch version
    torver = torch_version()
    is_cuda = '+cu' in torver
    is_cuda118 = '+cu118' in torver  # 2.1.0+cu118
    is_rocm = '+rocm' in torver  # 2.0.1+rocm5.4.2
    is_intel = '+cxx11' in torver  # 2.0.1a0+cxx11.abi
    is_cpu = '+cpu' in torver  # 2.0.1+cpu

    if is_rocm:
        base_requirements = "requirements_amd" + ("_noavx2" if not cpu_has_avx2() else "") + ".txt"
    elif is_cpu or is_intel:
        base_requirements = "requirements_cpu_only" + ("_noavx2" if not cpu_has_avx2() else "") + ".txt"
    elif is_macos():
        base_requirements = "requirements_apple_" + ("intel" if is_x86_64() else "silicon") + ".txt"
    else:
        base_requirements = "requirements" + ("_noavx2" if not cpu_has_avx2() else "") + ".txt"

    requirements_file = base_requirements

    print_big_message(f"Installing webui requirements from file: {requirements_file}")
    print(f"TORCH: {torver}\n")

    # Prepare the requirements file
    textgen_requirements = open(requirements_file).read().splitlines()
    if is_cuda118:
        textgen_requirements = [req.replace('+cu121', '+cu118').replace('+cu122', '+cu118') for req in textgen_requirements if "auto-gptq" not in req]
    if is_windows() and is_cuda118:  # No flash-attention on Windows for CUDA 11
        textgen_requirements = [req for req in textgen_requirements if 'oobabooga/flash-attention' not in req]

    with open('temp_requirements.txt', 'w') as file:
        file.write('\n'.join(textgen_requirements))

    # Workaround for git+ packages not updating properly.
    git_requirements = [req for req in textgen_requirements if req.startswith("git+")]
    for req in git_requirements:
        url = req.replace("git+", "")
        package_name = url.split("/")[-1].split("@")[0].rstrip(".git")
        run_cmd(f"python -m pip uninstall -y {package_name}", environment=True)
        print(f"Uninstalled {package_name}")

    # Install/update the project requirements
    run_cmd("python -m pip install -r temp_requirements.txt --upgrade", assert_success=True, environment=True)
    os.remove('temp_requirements.txt')

    # Check for '+cu' or '+rocm' in version string to determine if torch uses CUDA or ROCm. Check for pytorch-cuda as well for backwards compatibility
    if not any((is_cuda, is_rocm)) and run_cmd("conda list -f pytorch-cuda | grep pytorch-cuda", environment=True, capture_output=True).returncode == 1:
        clear_cache()
        return

    if not os.path.exists("repositories/"):
        os.mkdir("repositories")

    clear_cache()


def launch_webui():
    run_cmd(f"python server.py {flags}", environment=True)


if __name__ == "__main__":
    # Verifies we are in a conda environment
    check_env()

    parser = argparse.ArgumentParser(add_help=False)
    parser.add_argument('--update-wizard', action='store_true', help='Launch a menu with update options.')
    args, _ = parser.parse_known_args()

    if args.update_wizard:
        while True:
            choice = get_user_choice(
                "What would you like to do?",
                {
                    'A': 'Update the web UI',
                    'B': 'Install/update extensions requirements',
                    'C': 'Revert local changes to repository files with \"git reset --hard\"',
                    'N': 'Nothing (exit)'
                },
            )

            if choice == 'A':
                update_requirements()
            elif choice == 'B':
                choices = {'A': 'All extensions'}
                for i, name in enumerate(get_extensions_names()):
                    key = generate_alphabetic_sequence(i + 1)
                    choices[key] = name

                choice = get_user_choice("What extension?", choices)

                if choice == 'A':
                    install_extensions_requirements()
                else:
                    extension_req_path = os.path.join("extensions", choices[choice], "requirements.txt")
                    run_cmd(f"python -m pip install -r {extension_req_path} --upgrade", assert_success=False, environment=True)

                update_requirements(pull=False)
            elif choice == 'C':
                run_cmd("git reset --hard", assert_success=True, environment=True)
            elif choice == 'N':
                sys.exit()
    else:
        if not is_installed():
            install_webui()
            os.chdir(script_dir)

        if os.environ.get("LAUNCH_AFTER_INSTALL", "").lower() in ("no", "n", "false", "0", "f", "off"):
            print_big_message("Will now exit due to LAUNCH_AFTER_INSTALL.")
            sys.exit()

        # Check if a model has been downloaded yet
        if '--model-dir' in flags:
            # Splits on ' ' or '=' while maintaining spaces within quotes
            flags_list = re.split(' +(?=(?:[^\"]*\"[^\"]*\")*[^\"]*$)|=', flags)
            model_dir = [flags_list[(flags_list.index(flag) + 1)] for flag in flags_list if flag == '--model-dir'][0].strip('"\'')
        else:
            model_dir = 'models'

        if len([item for item in glob.glob(f'{model_dir}/*') if not item.endswith(('.txt', '.yaml'))]) == 0:
            print_big_message("You haven't downloaded any model yet.\nOnce the web UI launches, head over to the \"Model\" tab and download one.")

        # Workaround for llama-cpp-python loading paths in CUDA env vars even if they do not exist
        conda_path_bin = os.path.join(conda_env_path, "bin")
        if not os.path.exists(conda_path_bin):
            os.mkdir(conda_path_bin)

        # Launch the webui
        launch_webui()