MagicQuill/linux_setup.sh

#!/bin/bash

CONDA_PATH=$(conda info --base)
source "$CONDA_PATH/etc/profile.d/conda.sh"

# Create conda environment if it doesn't exist
if ! conda env list | grep -q "MagicQuill"; then
    echo "Creating conda environment MagicQuill..."
    conda create -n MagicQuill python=3.10 -y

    # Initialize conda after creating new environment
    echo "Initializing conda..."
    conda init bash

    echo "Environment created. Please run this script again to continue installation."
    exit 0
fi

# Activate conda environment
echo "Activating conda environment..."
conda activate MagicQuill

# Install PyTorch with CUDA 11.8
echo "Installing PyTorch 2.1.2 with CUDA 11.8..."
pip install torch==2.1.2 torchvision==0.16.2 --index-url https://download.pytorch.org/whl/cu118

# Verify PyTorch installation and CUDA availability
python -c "import torch; print('PyTorch version:', torch.version); print('CUDA available:', torch.cuda.is_available())"
if [ $? -ne 0 ]; then
    echo "Failed to install or verify PyTorch"
    exit 1
fi

# Install the required interface package
echo "Installing gradio_magicquill..."
pip install gradio_magicquill-0.0.1-py3-none-any.whl

# Install the llava environment
echo "Setting up LLaVA environment..."
if [ ! -d "MagicQuill/LLaVA" ]; then
    echo "Directory MagicQuill/LLaVA does not exist. Ensure the folder structure is correct."
    exit 1
fi
cp -f pyproject.toml MagicQuill/LLaVA/
pip install -e MagicQuill/LLaVA/

# Install remaining dependencies
echo "Installing additional requirements..."
pip install -r requirements.txt

# Run MagicQuill
echo "Starting MagicQuill..."
export CUDA_VISIBLE_DEVICES=0
python gradio_run.py || {
    echo "Error: Failed to run MagicQuill."
    exit 1
}