get the dependencies and run shark turbine

spawnsharkturbine.sh

#!/bin/bash
# Xida: I tested this on a fresh GCP machine. It should work on Debian and Ubuntu though.

# deps
sudo apt install wget git -y

# Specify the Miniconda version you want to install
MINICONDA_VERSION="latest"
# For a specific version, replace 'latest' with the version number, e.g., "Miniconda3-4.7.12-Linux-x86_64.sh"

# Download Miniconda installer
wget https://repo.anaconda.com/miniconda/Miniconda3-${MINICONDA_VERSION}-Linux-x86_64.sh -O miniconda.sh

# Install Miniconda
bash miniconda.sh -b -p $HOME/miniconda

# Remove the installer to save space
rm miniconda.sh

# Initialize Miniconda
eval "$($HOME/miniconda/bin/conda shell.bash hook)"

# Update Conda
conda update -y conda

# Add Miniconda to PATH in .bashrc
echo "export PATH=\"$HOME/miniconda/bin:$PATH\"" >> $HOME/.bashrc

# Reload .bashrc
source $HOME/.bashrc

git clone https://github.com/nod-ai/SHARK-Turbine.git
cd SHARK-Turbine
pip install -r requirements.txt
pip install -r examples/llama2_inference/requirements.txt
pip install -e .

read -p "SHARK Turbo installation complete. Press ctrl+C to finish, or press any key to proceed to set up vscode tunnels so you can access this machine from anywhere"

cd
# Define the URL
URL="https://code.visualstudio.com/sha/download?build=stable&os=linux-deb-x64"

# Download the .deb package
wget -O vscode.deb "$URL"

# Install the .deb package
sudo apt install -y ./vscode.deb