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Setup bark on WSL
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| #!/bin/zsh | |
| # requires Nvidia GPU | |
| # Update package list | |
| sudo apt update | |
| # Remove Outdated Signing Key | |
| sudo apt-key del 7fa2af80 | |
| # Install dependencies | |
| sudo apt install -y curl | |
| # Install Anaconda3 | |
| echo "Installing Anaconda3..." | |
| if [ ! -f Anaconda3-2023.03-1-Linux-x86_64.sh ]; then | |
| wget https://repo.anaconda.com/archive/Anaconda3-2023.03-1-Linux-x86_64.sh | |
| fi | |
| bash Anaconda3-2023.03-1-Linux-x86_64.sh -u -p $HOME/anaconda3 | |
| # Add Anaconda3 to the PATH | |
| echo ". $HOME/anaconda3/etc/profile.d/conda.sh" >> $HOME/.zshrc | |
| source ~/.zshrc | |
| # Create a new conda environment | |
| echo "Creating a new conda environment..." | |
| conda create -n bark_env python=3.8 -y | |
| # Activate the conda environment | |
| echo "Activating the conda environment..." | |
| conda activate bark_env | |
| # Install Bark and other necessary packages | |
| echo "Installing Bark and other necessary packages..." | |
| pip install git+https://github.com/suno-ai/bark.git | |
| conda install -y scipy | |
| conda install -y ipykernel | |
| conda install -y notebook | |
| conda install -c conda-forge ipywidgets | |
| # Add the conda environment to Jupyter | |
| echo "Adding the conda environment to Jupyter..." | |
| python3 -m ipykernel install --user --name=bark_env | |
| # Install Cuda | |
| echo "Installing Cuda..." | |
| if [ ! -f cuda_12.1.1_530.30.02_linux.run ]; then | |
| wget https://developer.download.nvidia.com/compute/cuda/12.1.1/local_installers/cuda_12.1.1_530.30.02_linux.run | |
| fi | |
| sudo sh cuda_12.1.1_530.30.02_linux.run | |
| # For WSL, do not install cuda-drivers or cuda-toolkit using apt-get | |
| # Follow the instructions provided in the NVIDIA WSL User Guide: | |
| # https://docs.nvidia.com/cuda/wsl-user-guide/index.html#installing-nvidia-driver | |
| # Launch Jupyter Notebook | |
| echo "Launching Jupyter Notebook..." | |
| jupyter notebook |
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