skip installing packages with pip if theyare already installed

# this scripts installs necessary requirements and launches main program in webui.py

# this scripts installs necessary requirements and launches main program in webui.py

import re

import subprocess

import subprocess

import os

import os

import sys

import sys

from modules import cmd_args, errors

from modules import cmd_args, errors

from modules.paths_internal import script_path, extensions_dir

from modules.paths_internal import script_path, extensions_dir

from modules import timer

timer.startup_timer.record("start")

args, _ = cmd_args.parser.parse_known_args()

args, _ = cmd_args.parser.parse_known_args()

        run_extension_installer(os.path.join(extensions_dir, dirname_extension))

        run_extension_installer(os.path.join(extensions_dir, dirname_extension))

re_requirement = re.compile(r"\s*([-_a-zA-Z0-9]+)\s*(?:==\s*([-+_.a-zA-Z0-9]+))?\s*")

def requrements_met(requirements_file):

    """

    Does a simple parse of a requirements.txt file to determine if all rerqirements in it

    are already installed. Returns True if so, False if not installed or parsing fails.

    """

    import importlib.metadata

    import packaging.version

    with open(requirements_file, "r", encoding="utf8") as file:

        for line in file:

            if line.strip() == "":

                continue

            m = re.match(re_requirement, line)

            if m is None:

                return False

            package = m.group(1).strip()

            version_required = (m.group(2) or "").strip()

            if version_required == "":

                continue

            try:

                version_installed = importlib.metadata.version(package)

            except Exception:

                return False

            if packaging.version.parse(version_required) != packaging.version.parse(version_installed):

                return False

    return True

def prepare_environment():

def prepare_environment():

    torch_index_url = os.environ.get('TORCH_INDEX_URL', "https://download.pytorch.org/whl/cu118")

    torch_index_url = os.environ.get('TORCH_INDEX_URL', "https://download.pytorch.org/whl/cu118")

    torch_command = os.environ.get('TORCH_COMMAND', f"pip install torch==2.0.1 torchvision==0.15.2 --extra-index-url {torch_index_url}")

    torch_command = os.environ.get('TORCH_COMMAND', f"pip install torch==2.0.1 torchvision==0.15.2 --extra-index-url {torch_index_url}")

    if not os.path.isfile(requirements_file):

    if not os.path.isfile(requirements_file):

        requirements_file = os.path.join(script_path, requirements_file)

        requirements_file = os.path.join(script_path, requirements_file)

    if not requrements_met(requirements_file):

        run_pip(f"install -r \"{requirements_file}\"", "requirements")

        run_pip(f"install -r \"{requirements_file}\"", "requirements")

    run_extensions_installers(settings_file=args.ui_settings_file)

    run_extensions_installers(settings_file=args.ui_settings_file)

fastapi==0.94.0

fastapi==0.94.0

gfpgan==1.3.8

gfpgan==1.3.8

gradio==3.32.0

gradio==3.32.0

httpcore<=0.15

httpcore==0.15

inflection==0.5.1

inflection==0.5.1

jsonmerge==1.8.0

jsonmerge==1.8.0

kornia==0.6.7

kornia==0.6.7

omegaconf==2.2.3

omegaconf==2.2.3

open-clip-torch==2.20.0

open-clip-torch==2.20.0

piexif==1.1.3

piexif==1.1.3

psutil~=5.9.5

psutil==5.9.5

pytorch_lightning==1.9.4

pytorch_lightning==1.9.4

realesrgan==0.3.0

realesrgan==0.3.0

resize-right==0.0.2

resize-right==0.0.2

logging.getLogger("torch.distributed.nn").setLevel(logging.ERROR)  # sshh...

logging.getLogger("torch.distributed.nn").setLevel(logging.ERROR)  # sshh...

logging.getLogger("xformers").addFilter(lambda record: 'A matching Triton is not available' not in record.getMessage())

logging.getLogger("xformers").addFilter(lambda record: 'A matching Triton is not available' not in record.getMessage())

from modules import paths, timer, import_hook, errors, devices  # noqa: F401

from modules import timer

startup_timer = timer.startup_timer

startup_timer = timer.startup_timer

startup_timer.record("launcher")

import torch

import torch

import pytorch_lightning   # noqa: F401 # pytorch_lightning should be imported after torch, but it re-enables warnings on import so import once to disable them

import pytorch_lightning   # noqa: F401 # pytorch_lightning should be imported after torch, but it re-enables warnings on import so import once to disable them

warnings.filterwarnings(action="ignore", category=DeprecationWarning, module="pytorch_lightning")

warnings.filterwarnings(action="ignore", category=DeprecationWarning, module="pytorch_lightning")

warnings.filterwarnings(action="ignore", category=UserWarning, module="torchvision")

warnings.filterwarnings(action="ignore", category=UserWarning, module="torchvision")

startup_timer.record("import torch")

startup_timer.record("import torch")

import gradio  # noqa: F401

import gradio  # noqa: F401

startup_timer.record("import gradio")

startup_timer.record("import gradio")

from modules import paths, timer, import_hook, errors, devices  # noqa: F401

startup_timer.record("setup paths")

import ldm.modules.encoders.modules  # noqa: F401

import ldm.modules.encoders.modules  # noqa: F401

startup_timer.record("import ldm")

startup_timer.record("import ldm")