45 lines
2.4 KiB
Markdown
45 lines
2.4 KiB
Markdown
# 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 from <https://www.microsoft.com/en-au/software-download/windows10ISO>
|
|
4. ~~Download MacOS~~ (Not possible to download legally)
|
|
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](https://github.com/boppreh/mouse/)
|
|
4. Set up SSH server on VM | [Guide](./SSH_SERVER_SETUP.md)
|
|
5. Install screenshot tool (in vm)
|
|
1. `sudo apt install imagemagick-6.q16hdri`
|
|
2. `DISPLAY=:0 import -window root screenshot.png`
|
|
6. Get screenshot
|
|
1. `scp user@192.168.7.128:~/screenshot.png screenshot.png`
|
|
2. `rm -rf ~/screenshot.png`
|
|
7. Set up python and install [mouse](https://github.com/boppreh/mouse/) and [keyboard](https://github.com/jordansissel/xdotool)
|
|
|
|
## Windows setup guide
|
|
|
|
1. Copy and paste the file `windows_server/main.py` to the windows vm
|
|
2. Make sure `mouse` and `keyboard` are installed
|
|
3. Run the file `pythonw main.py`
|
|
4. `ipconfig /all` and find the ip address
|
|
|
|
## Road map (Proposed)
|
|
|
|
- [x] Explore VMWare, and whether it can be connected and control through mouse package
|
|
- [x] Explore Windows and MacOS, whether it can be installed
|
|
- MacOS is closed source and cannot be legally installed
|
|
- Windows is available legally and can be installed
|
|
- [x] 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
|