import argparse import glob import os import subprocess import site 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 is_installed(): 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 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 --autostash", 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 is_installed(): install_dependencies() os.chdir(script_dir) # Check if a model has been downloaded yet if len([item for item in glob.glob('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()