Add todos and roadmap
This commit is contained in:
Timothyxxx
165
.gitignore
vendored
165
.gitignore
vendored
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*.iso
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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pip-wheel-metadata/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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__pycache__
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*.png
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# PyCharm
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**/.idea/**/*
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# Mac OS
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.DS_Store
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# data
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**/data/**/*
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!**/utils/data/**/*
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# tmp files
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**/tmp/**/*
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api_key.py
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tmp.*
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## Server logging
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**/.logging/**/*
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# DB cache
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**/.db_cache/**/*
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**/debugging/**/*
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# embedding repo
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instructor-embedding
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# plugin cache
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**/static/**/*
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# frontend cache
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frontend/node_modules/
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frontend/.next/
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frontend/.idea
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26
README.md
26
README.md
@@ -1,12 +1,32 @@
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# Setup guide
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# DesktopEnv: A Learning Environment for Human-like Computer Task Mastery
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1. Download kubuntu from https://kubuntu.org/getkubuntu/
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## Setup guide
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1. Download OS image
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1. Download kubuntu from https://kubuntu.org/getkubuntu/
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2. Download ubuntu from https://ubuntu.com/download/desktop
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1. If mac OS, use https://cdimage.ubuntu.com/jammy/daily-live/current/jammy-desktop-arm64.iso
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3. Download Windows, TODO
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4. Download MacOS, TODO
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2. Setup virtual machine
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1. Create `Host Only Adapter` and add it to the network adapter in the settings
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3. Install [xdotool](https://github.com/jordansissel/xdotool) on VM
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3. Set up bridge for connecting to VM
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1. Option 1: Install [xdotool](https://github.com/jordansissel/xdotool) on VM
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2. Option 2: Install [mouse]() TODO
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4. Set up SSH server on VM: https://averagelinuxuser.com/ssh-into-virtualbox/
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1. `sudo apt install openssh-server`
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2. `sudo systemctl enable ssh --now`
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3. `sudo ufw disable` (disable firewall - safe for local network, otherwise `sudo ufw allow ssh`)
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4. `ip a` - find ip address
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5. ssh username@<ip_address>
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## Road map (Proposed)
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- [ ] Explore VMWare, and whether it can be connected and control through mouse package
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- [ ] Explore Windows and MacOS, whether it can be installed
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- [ ] Build gym-like python interface for controlling the VM
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- [ ] Recording of actions (mouse movement, click, keyboard) for human to annotate, and we can replay it
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- [ ] This part may be conflict with work from [Aran Komatsuzaki](https://twitter.com/arankomatsuzaki) team, a.k.a. [Duck AI](https://duckai.org/)
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- [ ] Build a simple task, e.g. open a browser, open a website, click on a button, and close the browser
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- [ ] Set up a pipeline and build agents implementation (zero-shot) for the task
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- [ ] Start to design on which tasks inside the DesktopENv to focus on, start to wrap up the environment to be public
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- [ ] Start to annotate the examples for training and testing
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