text-generation-webui-mirror/one_click.py
2025-06-02 09:57:55 -03:00

539 lines
20 KiB
Python

import argparse
import glob
import hashlib
import json
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 versions
TORCH_VERSION = "2.6.0"
TORCHVISION_VERSION = "0.21.0"
TORCHAUDIO_VERSION = "2.6.0"
PYTHON_VERSION = "3.11"
LIBSTDCXX_VERSION_LINUX = "12.1.0"
# Environment
script_dir = os.getcwd()
conda_env_path = os.path.join(script_dir, "installer_files", "env")
state_file = '.installer_state.json'
# Command-line flags
flags = f"{' '.join([flag for flag in sys.argv[1:] if flag != '--update-wizard'])}"
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 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 cpu_has_avx2():
try:
import cpuinfo
info = cpuinfo.get_cpu_info()
return 'avx2' in info['flags']
except:
return True
def cpu_has_amx():
try:
import cpuinfo
info = cpuinfo.get_cpu_info()
return 'amx' in info['flags']
except:
return True
def load_state():
"""Load installer state from JSON file"""
if os.path.exists(state_file):
try:
with open(state_file, 'r') as f:
return json.load(f)
except:
return {}
return {}
def save_state(state):
"""Save installer state to JSON file"""
with open(state_file, 'w') as f:
json.dump(state, f)
def get_gpu_choice():
"""Get GPU choice from state file or ask user"""
state = load_state()
gpu_choice = state.get('gpu_choice')
if not gpu_choice:
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 - CUDA 12.4',
'B': 'AMD - Linux/macOS only, requires ROCm 6.2.4',
'C': 'Apple M Series',
'D': 'Intel Arc (beta)',
'N': 'CPU mode'
},
)
# Convert choice to GPU name
gpu_choice = {"A": "NVIDIA", "B": "AMD", "C": "APPLE", "D": "INTEL", "N": "NONE"}[choice]
# Save choice to state
state['gpu_choice'] = gpu_choice
save_state(state)
return gpu_choice
def get_pytorch_install_command(gpu_choice):
"""Get PyTorch installation command based on GPU choice"""
base_cmd = f"python -m pip install torch=={TORCH_VERSION} torchvision=={TORCHVISION_VERSION} torchaudio=={TORCHAUDIO_VERSION} "
if gpu_choice == "NVIDIA":
return base_cmd + "--index-url https://download.pytorch.org/whl/cu124"
elif gpu_choice == "AMD":
return base_cmd + "--index-url https://download.pytorch.org/whl/rocm6.2.4"
elif gpu_choice in ["APPLE", "NONE"]:
return base_cmd + "--index-url https://download.pytorch.org/whl/cpu"
elif gpu_choice == "INTEL":
if is_linux():
return "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:
return "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/"
else:
return base_cmd
def get_pytorch_update_command(gpu_choice):
"""Get PyTorch update command based on GPU choice"""
base_cmd = f"python -m pip install --upgrade torch=={TORCH_VERSION} torchvision=={TORCHVISION_VERSION} torchaudio=={TORCHAUDIO_VERSION}"
if gpu_choice == "NVIDIA":
return f"{base_cmd} --index-url https://download.pytorch.org/whl/cu124"
elif gpu_choice == "AMD":
return f"{base_cmd} --index-url https://download.pytorch.org/whl/rocm6.2.4"
elif gpu_choice in ["APPLE", "NONE"]:
return f"{base_cmd} --index-url https://download.pytorch.org/whl/cpu"
elif gpu_choice == "INTEL":
intel_extension = "intel-extension-for-pytorch==2.1.10+xpu" if is_linux() else "intel-extension-for-pytorch==2.1.10"
return f"{base_cmd} {intel_extension} --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/"
else:
return base_cmd
def get_requirements_file(gpu_choice):
"""Get requirements file path based on GPU choice"""
requirements_base = os.path.join("requirements", "full")
if gpu_choice == "AMD":
file_name = f"requirements_amd{'_noavx2' if not cpu_has_avx2() else ''}.txt"
elif gpu_choice == "APPLE":
file_name = f"requirements_apple_{'intel' if is_x86_64() else 'silicon'}.txt"
elif gpu_choice in ["INTEL", "NONE"]:
file_name = f"requirements_cpu_only{'_noavx2' if not cpu_has_avx2() else ''}.txt"
elif gpu_choice == "NVIDIA":
file_name = f"requirements{'_noavx2' if not cpu_has_avx2() else ''}.txt"
else:
raise ValueError(f"Unknown GPU choice: {gpu_choice}")
return os.path.join(requirements_base, file_name)
def get_current_commit():
result = run_cmd("git rev-parse HEAD", capture_output=True, environment=True)
return result.stdout.decode('utf-8').strip()
def get_extensions_names():
return [foldername for foldername in os.listdir('extensions') if os.path.isfile(os.path.join('extensions', foldername, 'requirements.txt'))]
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.get("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 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}'
# Set executable to None for Windows, bash for everything else
executable = None if is_windows() else 'bash'
# Run shell commands
result = subprocess.run(cmd, shell=True, capture_output=capture_output, env=env, executable=executable)
# 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 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 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 update_pytorch_and_python():
print_big_message("Checking for PyTorch updates.")
gpu_choice = get_gpu_choice()
install_cmd = get_pytorch_update_command(gpu_choice)
run_cmd(install_cmd, assert_success=True, environment=True)
def clean_outdated_pytorch_cuda_dependencies():
patterns = ["cu121", "cu122", "torch2.4"]
result = run_cmd("python -m pip list --format=freeze", capture_output=True, environment=True)
matching_packages = []
for line in result.stdout.decode('utf-8').splitlines():
if "==" in line:
pkg_name, version = line.split('==', 1)
if any(pattern in version for pattern in patterns):
matching_packages.append(pkg_name)
if matching_packages:
print(f"\nUninstalling: {', '.join(matching_packages)}\n")
run_cmd(f"python -m pip uninstall -y {' '.join(matching_packages)}", assert_success=True, environment=True)
return matching_packages
def install_webui():
if os.path.isfile(state_file):
os.remove(state_file)
# Get GPU choice and save it to state
gpu_choice = get_gpu_choice()
# Write a flag to CMD_FLAGS.txt for CPU mode
if gpu_choice == "NONE":
cmd_flags_path = os.path.join(script_dir, "user_data", "CMD_FLAGS.txt")
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 user_data/CMD_FLAGS.txt.")
cmd_flags_file.write("\n--cpu\n")
# Handle CUDA version display
elif any((is_windows(), is_linux())) and gpu_choice == "NVIDIA":
print("CUDA: 12.4")
# No PyTorch for AMD on Windows (?)
elif is_windows() and gpu_choice == "AMD":
print("PyTorch setup on Windows is not implemented yet. Exiting...")
sys.exit(1)
# Install Git and then Pytorch
print_big_message("Installing PyTorch.")
install_pytorch = get_pytorch_install_command(gpu_choice)
run_cmd(f"conda install -y ninja git && {install_pytorch} && python -m pip install py-cpuinfo==9.0.0", assert_success=True, environment=True)
if gpu_choice == "INTEL":
# Install oneAPI dependencies via conda
print_big_message("Installing Intel oneAPI runtime libraries.")
run_cmd("conda install -y -c https://software.repos.intel.com/python/conda/ -c conda-forge dpcpp-cpp-rt=2024.0 mkl-dpcpp=2024.0", environment=True)
# Install libuv required by Intel-patched torch
run_cmd("conda install -y libuv", environment=True)
# Install the webui requirements
update_requirements(initial_installation=True, pull=False)
def update_requirements(initial_installation=False, pull=True):
# Create .git directory if missing
if not os.path.exists(os.path.join(script_dir, ".git")):
run_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",
environment=True,
assert_success=True
)
current_commit = get_current_commit()
wheels_changed = not os.path.exists(state_file)
if not wheels_changed:
state = load_state()
if 'wheels_changed' in state or state.get('last_installed_commit') != current_commit:
wheels_changed = True
gpu_choice = get_gpu_choice()
requirements_file = get_requirements_file(gpu_choice)
if pull:
# Read .whl lines before pulling
before_pull_whl_lines = []
if os.path.exists(requirements_file):
with open(requirements_file, 'r') as f:
before_pull_whl_lines = [line for line in f if '.whl' in line]
print_big_message('Updating the local copy of the repository with "git pull"')
# Hash files before pulling
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_hashes = {file: calculate_file_hash(file) for file in files_to_check}
# Perform the git pull
run_cmd("git pull --autostash", assert_success=True, environment=True)
# Check hashes after pulling
after_hashes = {file: calculate_file_hash(file) for file in files_to_check}
if os.path.exists(requirements_file):
with open(requirements_file, 'r') as f:
after_pull_whl_lines = [line for line in f if '.whl' in line]
wheels_changed = wheels_changed or (before_pull_whl_lines != after_pull_whl_lines)
# Check for changes to installer files
for file in files_to_check:
if before_hashes[file] != after_hashes[file]:
print_big_message(f"File '{file}' was updated during 'git pull'. Please run the script again.")
# Save state before exiting
state = load_state()
if wheels_changed:
state['wheels_changed'] = True
save_state(state)
sys.exit(1)
# Save current state
state = load_state()
state['last_installed_commit'] = current_commit
state.pop('wheels_changed', None) # Remove wheels_changed flag
save_state(state)
if os.environ.get("INSTALL_EXTENSIONS", "").lower() in ("yes", "y", "true", "1", "t", "on"):
install_extensions_requirements()
if is_linux():
run_cmd(f"conda install -y -c conda-forge libstdcxx-ng=={LIBSTDCXX_VERSION_LINUX}", assert_success=True, environment=True)
# Update PyTorch
if not initial_installation:
update_pytorch_and_python()
clean_outdated_pytorch_cuda_dependencies()
print_big_message(f"Installing webui requirements from file: {requirements_file}")
print(f"GPU Choice: {gpu_choice}\n")
# Prepare the requirements file
textgen_requirements = open(requirements_file).read().splitlines()
if not initial_installation and not wheels_changed:
textgen_requirements = [line for line in textgen_requirements if '.whl' not in line]
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)
# Clean up
os.remove('temp_requirements.txt')
clear_cache()
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 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 = 'user_data/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()