update torch to 2.1.0

    import torch

    import gradio

    expected_torch_version = "2.0.0"

    expected_xformers_version = "0.0.20"

    expected_torch_version = "2.1.0"

    expected_xformers_version = "0.0.22.post7"

    expected_gradio_version = "3.41.2"

    if version.parse(torch.__version__) < version.parse(expected_torch_version):

def prepare_environment():

    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_index_url = os.environ.get('TORCH_INDEX_URL', "https://download.pytorch.org/whl/cu121")

    torch_command = os.environ.get('TORCH_COMMAND', f"pip install torch==2.1.0 torchvision==0.16.0 --extra-index-url {torch_index_url}")

    requirements_file = os.environ.get('REQS_FILE', "requirements_versions.txt")

    xformers_package = os.environ.get('XFORMERS_PACKAGE', 'xformers==0.0.20')

    xformers_package = os.environ.get('XFORMERS_PACKAGE', 'xformers==0.0.22.post7')

    clip_package = os.environ.get('CLIP_PACKAGE', "https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip")

    openclip_package = os.environ.get('OPENCLIP_PACKAGE', "https://github.com/mlfoundations/open_clip/archive/bb6e834e9c70d9c27d0dc3ecedeebeaeb1ffad6b.zip")

export install_dir="$HOME"

export COMMANDLINE_ARGS="--skip-torch-cuda-test --upcast-sampling --no-half-vae --use-cpu interrogate"

export TORCH_COMMAND="pip install torch==2.0.1 torchvision==0.15.2"

export TORCH_COMMAND="pip install torch==2.1.0 torchvision==0.16.0"

export PYTORCH_ENABLE_MPS_FALLBACK=1

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