import argparse import glob import os import site import subprocess import sys script_dir = os.getcwd() conda_env_path = os.path.join(script_dir, "installer_files", "env") # Use this to set your command-line flags. For the full list, see: # https://github.com/oobabooga/text-generation-webui/#starting-the-web-ui CMD_FLAGS = '--chat' # Allows users to set flags in "OOBABOOGA_FLAGS" environment variable 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") 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 install_dependencies(): # Select your GPU or, choose to run in CPU mode print("What is your GPU") print() print("A) NVIDIA") print("B) AMD") print("C) Apple M Series") print("D) None (I want to run in CPU mode)") print() gpuchoice = input("Input> ").lower() if gpuchoice == "d": print_big_message("Once the installation ends, make sure to open webui.py with a text editor\nand add the --cpu flag to CMD_FLAGS.") # 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": print("AMD GPUs are not supported. Exiting...") sys.exit() elif gpuchoice == "c" or gpuchoice == "d": run_cmd("conda install -y -k ninja git && python -m pip install torch torchvision torchaudio", assert_success=True, environment=True) else: print("Invalid choice. Exiting...") sys.exit() # Clone webui to our computer run_cmd("git clone https://github.com/oobabooga/text-generation-webui.git", assert_success=True, environment=True) # Install the webui dependencies update_dependencies() def update_dependencies(): os.chdir("text-generation-webui") run_cmd("git pull", assert_success=True, environment=True) # Workaround for git+ packages not updating properly with open("requirements.txt") as f: requirements = f.read().splitlines() git_requirements = [req for req in 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 dependencies from all requirements.txt run_cmd("python -m pip install -r requirements.txt --upgrade", assert_success=True, environment=True) 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) # Latest bitsandbytes requires minimum compute 7.0 # nvcc_device_query = "__nvcc_device_query" if not sys.platform.startswith("win") else "__nvcc_device_query.exe" # min_compute = 70 # compute_array = run_cmd(os.path.join(conda_env_path, "bin", nvcc_device_query), environment=True, capture_output=True) # old_bnb = "bitsandbytes==0.38.1" if not sys.platform.startswith("win") else "https://github.com/jllllll/bitsandbytes-windows-webui/raw/main/bitsandbytes-0.38.1-py3-none-any.whl" # if compute_array.returncode == 0 and not any(int(compute) >= min_compute for compute in compute_array.stdout.decode('utf-8').split(',')): # old_bnb_install = run_cmd(f"python -m pip install {old_bnb} --force-reinstall --no-deps", environment=True).returncode == 0 # message = "\n\nWARNING: GPU with compute < 7.0 detected!\n" # if old_bnb_install: # message += "Older version of bitsandbytes has been installed to maintain compatibility.\n" # message += "You will be unable to use --load-in-4bit!\n" # else: # message += "You will be unable to use --load-in-8bit until you install bitsandbytes 0.38.1!\n" # print_big_message(message) # 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' in version string to determine if torch uses CUDA or not check for pytorch-cuda as well for backwards compatibility if '+cu' not in torver and run_cmd("conda list -f pytorch-cuda | grep pytorch-cuda", environment=True, capture_output=True).returncode == 1: return # Finds the path to your dependencies for sitedir in site.getsitepackages(): if "site-packages" in sitedir: site_packages_path = sitedir break # This path is critical to installing the following dependencies if site_packages_path is None: print("Could not find the path to your Python packages. Exiting...") sys.exit() # Fix a bitsandbytes compatibility issue with Linux # if sys.platform.startswith("linux"): # shutil.copy(os.path.join(site_packages_path, "bitsandbytes", "libbitsandbytes_cuda117.so"), os.path.join(site_packages_path, "bitsandbytes", "libbitsandbytes_cpu.so")) 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("..") # Fix build 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) # Install GPTQ-for-LLaMa which enables 4bit CUDA quantization if not os.path.exists("GPTQ-for-LLaMa/"): run_cmd("git clone https://github.com/oobabooga/GPTQ-for-LLaMa.git -b cuda", assert_success=True, environment=True) # Install GPTQ-for-LLaMa dependencies os.chdir("GPTQ-for-LLaMa") run_cmd("git pull", assert_success=True, 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 gxx_linux-64=11.2.0", environment=True) # Compile and install GPTQ-for-LLaMa if os.path.exists('setup_cuda.py'): os.rename("setup_cuda.py", "setup.py") run_cmd("python -m pip install .", environment=True) # Wheel installation can fail while in the build directory of a package with the same name os.chdir("..") # If the path does not exist, then the install failed quant_cuda_path_regex = os.path.join(site_packages_path, "quant_cuda*/") if not glob.glob(quant_cuda_path_regex): # Attempt installation via alternative, Windows/Linux-specific method if sys.platform.startswith("win") or sys.platform.startswith("linux"): print_big_message("WARNING: GPTQ-for-LLaMa compilation failed, but this is FINE and can be ignored!\nThe installer will proceed to install a pre-compiled wheel.") url = "https://github.com/jllllll/GPTQ-for-LLaMa-Wheels/raw/main/quant_cuda-0.0.0-cp310-cp310-win_amd64.whl" if sys.platform.startswith("linux"): url = "https://github.com/jllllll/GPTQ-for-LLaMa-Wheels/raw/Linux-x64/quant_cuda-0.0.0-cp310-cp310-linux_x86_64.whl" result = run_cmd("python -m pip install " + url, environment=True) if result.returncode == 0: print("Wheel installation success!") else: print("ERROR: GPTQ wheel installation failed. You will not be able to use GPTQ-based models.") else: print("ERROR: GPTQ CUDA kernel compilation failed.") print("You will not be able to use GPTQ-based models.") print("Continuing with install..") def download_model(): os.chdir("text-generation-webui") run_cmd("python download-model.py", environment=True) def launch_webui(): os.chdir("text-generation-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/"): 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 bottom of 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()