text-generation-webui/webui.py
2023-09-21 21:51:58 -05:00

254 lines
12 KiB
Python

import argparse
import glob
import os
import subprocess
import sys
script_dir = os.getcwd()
conda_env_path = os.path.join(script_dir, "installer_files", "env")
# Command-line flags
if "OOBABOOGA_FLAGS" in os.environ:
CMD_FLAGS = os.environ["OOBABOOGA_FLAGS"]
print("The following flags have been taken from the environment variable 'OOBABOOGA_FLAGS':")
print(CMD_FLAGS)
print("To use the CMD_FLAGS Inside webui.py, unset 'OOBABOOGA_FLAGS'.\n")
else:
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() for line in f.read().splitlines() if line.strip())
else:
CMD_FLAGS = ''
# 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'
def print_big_message(message):
message = message.strip()
lines = message.split('\n')
print("\n\n*******************************************************************")
for line in lines:
if line.strip() != '':
print("*", line)
print("*******************************************************************\n\n")
def run_cmd(cmd, assert_success=False, environment=False, capture_output=False, env=None):
# Use the conda environment
if environment:
if sys.platform.startswith("win"):
conda_bat_path = os.path.join(script_dir, "installer_files", "conda", "condabin", "conda.bat")
cmd = "\"" + 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 = ". \"" + 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("Command '" + cmd + "' failed with exit status code '" + str(result.returncode) + "'. Exiting...")
sys.exit()
return result
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()
# 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()
def clear_cache():
run_cmd("conda clean -a -y", environment=True)
run_cmd("python -m pip cache purge", environment=True)
def install_dependencies():
# Select your GPU or, choose to run in CPU mode
print("What is your GPU")
print()
print("A) NVIDIA")
print("B) AMD (Linux/MacOS only. Requires ROCm SDK 5.4.2/5.4.3 on Linux)")
print("C) Apple M Series")
print("D) None (I want to run models in CPU mode)")
print()
gpuchoice = input("Input> ").lower()
while gpuchoice not in ['a', 'b', 'c', 'd']:
print("Invalid choice. Please try again.")
gpuchoice = input("Input> ").lower()
if gpuchoice == "d":
print_big_message("Once the installation ends, make sure to open CMD_FLAGS.txt with\na text editor and add the --cpu flag.")
# Install the version of PyTorch needed
if gpuchoice == "a":
run_cmd('conda install -y -k cuda ninja git -c nvidia/label/cuda-11.7.0 -c nvidia && python -m pip install torch==2.0.1+cu117 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117', assert_success=True, environment=True)
elif gpuchoice == "b" and not sys.platform.startswith("darwin"):
if sys.platform.startswith("linux"):
run_cmd('conda install -y -k ninja git && python -m pip install torch==2.0.1+rocm5.4.2 torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.4.2', assert_success=True, environment=True)
else:
print("AMD GPUs are only supported on Linux. Exiting...")
sys.exit()
elif (gpuchoice == "c" or gpuchoice == "b") and sys.platform.startswith("darwin"):
run_cmd("conda install -y -k ninja git && python -m pip install torch torchvision torchaudio", assert_success=True, environment=True)
elif gpuchoice == "d" or gpuchoice == "c":
if sys.platform.startswith("linux"):
run_cmd("conda install -y -k ninja git && python -m pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu", assert_success=True, environment=True)
else:
run_cmd("conda install -y -k ninja git && python -m pip install torch torchvision torchaudio", assert_success=True, environment=True)
# Install the webui dependencies
update_dependencies(initial_installation=True)
def update_dependencies(initial_installation=False):
# Create .git directory if missing
if not os.path.isdir(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 remote set-head origin -a && git reset origin/HEAD && git branch --set-upstream-to=origin/HEAD'
run_cmd(git_creation_cmd, environment=True, assert_success=True)
run_cmd("git pull", assert_success=True, environment=True) # TODO is there a better way?
# Install the extensions dependencies (only on the first install)
if initial_installation:
extensions = next(os.walk("extensions"))[1]
for extension in extensions:
if extension in ['superbooga']: # No wheels available for dependencies
continue
extension_req_path = os.path.join("extensions", extension, "requirements.txt")
if os.path.exists(extension_req_path):
run_cmd("python -m pip install -r " + extension_req_path + " --upgrade", assert_success=True, environment=True)
textgen_requirements = open("requirements.txt").read().splitlines()
# Workaround for git+ packages not updating properly Also store requirements.txt for later use
git_requirements = [req for req in textgen_requirements if req.startswith("git+")]
# Loop through each "git+" requirement and uninstall it
for req in git_requirements:
# Extract the package name from the "git+" requirement
url = req.replace("git+", "")
package_name = url.split("/")[-1].split("@")[0]
# Uninstall the package using pip
run_cmd("python -m pip uninstall -y " + package_name, environment=True)
print(f"Uninstalled {package_name}")
# Installs/Updates the project dependencies
run_cmd("python -m pip install -r requirements.txt --upgrade", assert_success=True, environment=True)
# The following dependencies are for CUDA, not CPU
# Parse output of 'pip show torch' to determine torch version
torver_cmd = run_cmd("python -m pip show torch", assert_success=True, environment=True, capture_output=True)
torver = [v.split()[1] for v in torver_cmd.stdout.decode('utf-8').splitlines() if 'Version:' in v][0]
# 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 '+cu' not in torver and '+rocm' not in torver 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")
os.chdir("repositories")
# Install or update exllama as needed
if not os.path.exists("exllama/"):
run_cmd("git clone https://github.com/turboderp/exllama.git", environment=True)
else:
os.chdir("exllama")
run_cmd("git pull", environment=True)
os.chdir("..")
# Pre-installed exllama module does not support AMD GPU
if '+rocm' in torver:
run_cmd("python -m pip uninstall -y exllama", environment=True)
# Get download URL for latest exllama ROCm wheel
exllama_rocm = run_cmd('curl -s https://api.github.com/repos/jllllll/exllama/releases/latest | grep browser_download_url | grep rocm5.4.2-cp310-cp310-linux_x86_64.whl | cut -d : -f 2,3 | tr -d \'"\'', environment=True, capture_output=True).stdout.decode('utf-8')
if 'rocm5.4.2-cp310-cp310-linux_x86_64.whl' in exllama_rocm:
run_cmd("python -m pip install " + exllama_rocm, environment=True)
# Fix JIT compile issue with exllama in Linux/WSL
if sys.platform.startswith("linux") and not os.path.exists(f"{conda_env_path}/lib64"):
run_cmd(f'ln -s "{conda_env_path}/lib" "{conda_env_path}/lib64"', environment=True)
# On some Linux distributions, g++ may not exist or be the wrong version to compile GPTQ-for-LLaMa
if sys.platform.startswith("linux"):
gxx_output = run_cmd("g++ -dumpfullversion -dumpversion", environment=True, capture_output=True)
if gxx_output.returncode != 0 or int(gxx_output.stdout.strip().split(b".")[0]) > 11:
# Install the correct version of g++
run_cmd("conda install -y -k conda-forge::gxx_linux-64=11.2.0", environment=True)
# Install/Update ROCm AutoGPTQ for AMD GPUs
if '+rocm' in torver:
auto_gptq_version = [req for req in textgen_requirements if req.startswith('https://github.com/PanQiWei/AutoGPTQ/releases/download/')][0].split('/')[7]
auto_gptq_wheel = run_cmd(f'curl -s https://api.github.com/repos/PanQiWei/AutoGPTQ/releases/tags/{auto_gptq_version} | grep browser_download_url | grep rocm5.4.2-cp310-cp310-linux_x86_64.whl | cut -d : -f 2,3 | tr -d \'"\'', environment=True, capture_output=True).stdout.decode('utf-8')
if not auto_gptq_wheel and run_cmd(f"python -m pip install {auto_gptq_wheel} --force-reinstall --no-deps", environment=True).returncode != 0:
print_big_message("ERROR: AutoGPTQ wheel installation failed!\n You will not be able to use GPTQ-based models with AutoGPTQ.")
# Install GPTQ-for-LLaMa for ROCm
if '+rocm' in torver:
gptq_wheel = run_cmd('curl -s https://api.github.com/repos/jllllll/GPTQ-for-LLaMa-CUDA/releases/latest | grep browser_download_url | grep rocm5.4.2-cp310-cp310-linux_x86_64.whl | cut -d : -f 2,3 | tr -d \'"\'', environment=True, capture_output=True).stdout.decode('utf-8')
install_gptq = run_cmd("python -m pip install " + gptq_wheel, environment=True).returncode == 0
if install_gptq:
print("Wheel installation success!")
else:
print("ERROR: GPTQ wheel installation failed.")
print("You will not be able to use GPTQ-based models with GPTQ-for-LLaMa.")
clear_cache()
def download_model():
run_cmd("python download-model.py", environment=True)
def launch_webui():
run_cmd(f"python server.py {CMD_FLAGS}", environment=True)
if __name__ == "__main__":
# Verifies we are in a conda environment
check_env()
parser = argparse.ArgumentParser()
parser.add_argument('--update', action='store_true', help='Update the web UI.')
args = parser.parse_args()
if args.update:
update_dependencies()
else:
# If webui has already been installed, skip and run
# if not os.path.exists("text-generation-webui/"):
if True: # TODO implement a new installation check
install_dependencies()
os.chdir(script_dir)
# Check if a model has been downloaded yet
if len([item for item in glob.glob('text-generation-webui/models/*') if not item.endswith(('.txt', '.yaml'))]) == 0:
print_big_message("WARNING: 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()