#  DesktopEnv: A Learning Environment for Human-like Computer Task Mastery

## Setup guide

1. Download OS image
   1. Download kubuntu from https://kubuntu.org/getkubuntu/
   2. Download ubuntu from https://ubuntu.com/download/desktop
      1. If mac OS, use https://cdimage.ubuntu.com/jammy/daily-live/current/jammy-desktop-arm64.iso
   3. Download Windows, TODO
   4. Download MacOS, TODO
2. Setup virtual machine
   1. Create `Host Only Adapter` and add it to the network adapter in the settings
3. Set up bridge for connecting to VM
   1. Option 1: Install [xdotool](https://github.com/jordansissel/xdotool) on VM
   2. Option 2: Install [mouse]() TODO
4. Set up SSH server on VM: https://averagelinuxuser.com/ssh-into-virtualbox/
   1. `sudo apt install openssh-server`
   2. `sudo systemctl enable ssh --now`
   3. `sudo ufw disable` (disable firewall - safe for local network, otherwise `sudo ufw allow ssh`)
   4. `ip a` - find ip address
   5. ssh username@<ip_address>

## Road map (Proposed)
- [ ] Explore VMWare, and whether it can be connected and control through mouse package
- [ ] Explore Windows and MacOS, whether it can be installed
- [ ] Build gym-like python interface for controlling the VM
- [ ] Recording of actions (mouse movement, click, keyboard) for human to annotate, and we can replay it
  - [ ] This part may be conflict with work from [Aran Komatsuzaki](https://twitter.com/arankomatsuzaki) team, a.k.a. [Duck AI](https://duckai.org/)
- [ ] Build a simple task, e.g. open a browser, open a website, click on a button, and close the browser
- [ ] Set up a pipeline and build agents implementation (zero-shot) for the task
- [ ] Start to design on which tasks inside the DesktopENv to focus on, start to wrap up the environment to be public
- [ ] Start to annotate the examples for training and testing