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start.py
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start.py
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"""Utility to automatically upgrade and start the API"""
import argparse
import json
import os
import pathlib
import platform
import subprocess
import sys
import traceback
from shutil import copyfile
start_options = {}
def get_user_choice(question: str, options_dict: dict):
"""
Gets user input in a commandline script.
Originally from: https://github.com/oobabooga/text-generation-webui/blob/main/one_click.py#L213
"""
print()
print(question)
print()
for key, value in options_dict.items():
print(f"{key}) {value.get('pretty')}")
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 get_install_features(lib_name: str = None):
"""Fetches the appropriate requirements file depending on the GPU"""
install_features = None
possible_features = ["cu121", "cu118", "amd"]
if not lib_name:
# Ask the user for the GPU lib
gpu_lib_choices = {
"A": {"pretty": "NVIDIA Cuda 12.x", "internal": "cu121"},
"B": {"pretty": "NVIDIA Cuda 11.8", "internal": "cu118"},
"C": {"pretty": "AMD", "internal": "amd"},
}
user_input = get_user_choice(
"Select your GPU. If you don't know, select Cuda 12.x (A)",
gpu_lib_choices,
)
lib_name = gpu_lib_choices.get(user_input, {}).get("internal")
# Write to start options
start_options["gpu_lib"] = lib_name
print("Saving your choice to start options.")
# Assume default if the file is invalid
if lib_name and lib_name in possible_features:
print(f"Using {lib_name} dependencies from your preferences.")
install_features = lib_name
else:
print(
f"WARN: GPU library {lib_name} not found. "
"Skipping GPU-specific dependencies.\n"
"WARN: Please remove the `gpu_lib` key from start_options.json and restart "
"if you want to change your selection."
)
return
if install_features == "amd":
# Exit if using AMD and Windows
if platform.system() == "Windows":
print(
"ERROR: TabbyAPI does not support AMD and Windows. "
"Please use Linux and ROCm 6.0. Exiting."
)
sys.exit(0)
# Override env vars for ROCm support on non-supported GPUs
os.environ["ROCM_PATH"] = "/opt/rocm"
os.environ["HSA_OVERRIDE_GFX_VERSION"] = "10.3.0"
os.environ["HCC_AMDGPU_TARGET"] = "gfx1030"
return install_features
def create_argparser():
try:
from common.args import init_argparser
return init_argparser()
except ModuleNotFoundError:
print(
"Pydantic not found. Showing an abridged help menu.\n"
"Run this script once to install dependencies.\n"
)
return argparse.ArgumentParser()
def add_start_args(parser: argparse.ArgumentParser):
"""Add start script args to the provided parser"""
start_group = parser.add_argument_group("start")
start_group.add_argument(
"-ur",
"--update-repository",
action="store_true",
help="Update local git repository to latest",
)
start_group.add_argument(
"-ud",
"--update-deps",
action="store_true",
help="Update all pip dependencies",
)
start_group.add_argument(
"-fr",
"--force-reinstall",
action="store_true",
help="Forces a reinstall of dependencies. Only works with --update-deps",
)
start_group.add_argument(
"-nw",
"--nowheel",
action="store_true",
help="Don't upgrade wheel dependencies (exllamav2, torch)",
)
start_group.add_argument(
"--gpu-lib",
type=str,
help="Select GPU library. Options: cu121, cu118, amd",
)
def migrate_gpu_lib():
gpu_lib_path = pathlib.Path("gpu_lib.txt")
if not gpu_lib_path.exists():
return
print("Migrating gpu_lib.txt to the new start_options.json")
with open("gpu_lib.txt", "r") as gpu_lib_file:
start_options["gpu_lib"] = gpu_lib_file.readline().strip()
start_options["first_run_done"] = True
# Remove the old file
gpu_lib_path.unlink()
print(
"Successfully migrated gpu lib options to start_options. "
"The old file has been deleted."
)
if __name__ == "__main__":
subprocess.run(["pip", "-V"])
# Create an argparser and add extra startup script args
# Try creating a full argparser if pydantic is installed
# Otherwise, create an abridged one solely for startup
try:
from common.args import init_argparser
parser = init_argparser()
has_full_parser = True
except ModuleNotFoundError:
parser = argparse.ArgumentParser(
description="Abridged TabbyAPI start script parser.",
epilog=(
"Some dependencies were not found to display the full argparser. "
"Run the script once to install/update them."
),
)
has_full_parser = False
add_start_args(parser)
args, _ = parser.parse_known_args()
script_ext = "bat" if platform.system() == "Windows" else "sh"
start_options_path = pathlib.Path("start_options.json")
if start_options_path.exists():
with open(start_options_path) as start_options_file:
start_options = json.load(start_options_file)
print("Loaded your saved preferences from `start_options.json`")
if start_options.get("first_run_done"):
first_run = False
else:
print(
"It looks like you're running TabbyAPI for the first time. "
"Getting things ready..."
)
# Migrate from old setting storage
migrate_gpu_lib()
# Set variables that rely on start options
first_run = not start_options.get("first_run_done")
# Set gpu_lib for dependency install
if args.gpu_lib:
print("Overriding GPU lib name from args.")
gpu_lib = args.gpu_lib
elif "gpu_lib" in start_options:
gpu_lib = start_options.get("gpu_lib")
else:
gpu_lib = None
# Pull from GitHub
if args.update_repository:
print("Pulling latest changes from Github.")
pull_command = "git pull"
subprocess.run(pull_command.split(" "))
# Install/update dependencies
if first_run or args.update_deps:
install_command = ["pip", "install", "-U"]
# Force a reinstall of the updated dependency if needed
if args.force_reinstall:
install_command.append("--force-reinstall")
install_features = None if args.nowheel else get_install_features(gpu_lib)
features = f".[{install_features}]" if install_features else "."
install_command.append(features)
# pip install .[features]
print(f"Running install command: {' '.join(install_command)}")
subprocess.run(install_command)
print()
if args.update_deps:
print(
f"Dependencies updated. Please run TabbyAPI with `start.{script_ext}`. "
"Exiting."
)
sys.exit(0)
else:
print(
f"Dependencies installed. Update them with `update_deps.{script_ext}` "
"inside the `update_scripts` folder."
)
# First run options
if first_run:
start_options["first_run_done"] = True
# Save start options
with open("start_options.json", "w") as start_file:
start_file.write(json.dumps(start_options))
print(
"Successfully wrote your start script options to "
"`start_options.json`. \n"
"If something goes wrong, editing or deleting the file "
"will reinstall TabbyAPI as a first-time user."
)
# Expand the parser if it's not fully created
if not has_full_parser:
from common.args import init_argparser
parser = init_argparser(parser)
args = parser.parse_args()
# Assume all dependencies are installed from here
try:
from common.args import convert_args_to_dict
from main import entrypoint
converted_args = convert_args_to_dict(args, parser)
# Create a config if it doesn't exist
# This is not necessary to run TabbyAPI, but is new user proof
config_path = (
pathlib.Path(args.config) if args.config else pathlib.Path("config.yml")
)
if not config_path.exists():
sample_config_path = pathlib.Path("config_sample.yml")
copyfile(sample_config_path, config_path)
print(
"A config.yml wasn't found.\n"
f"Created one at {str(config_path.resolve())}"
)
print("Starting TabbyAPI...")
entrypoint(converted_args)
except (ModuleNotFoundError, ImportError):
traceback.print_exc()
print(
"\n"
"This error was raised because a package was not found.\n"
"Update your dependencies by running update_scripts/"
f"update_deps.{'bat' if platform.system() == 'Windows' else 'sh'}\n\n"
)