Installation guide#
Provided you already have Python3 (and pip) installed, simply execute:
Python 3.7 or later is required.
This will work on all major operating systems.
Google Colab#
In order to use GreatAI in Google Colab, you need to downgrade pyyaml to a Colab compatible version. See related StackOverflow question.
This will make GreatAI work in Colab.
Command-line tools#
After installation, great-ai and large-file are available as commands. The former is required for deploying your application, while the latter lets you manage models and datasets from your terminal.
Snakes & kebabs
The library is called great-ai; therefore, its command-line entry point is also called great-ai. However, Python module names cannot contain hyphens, that's why you have to import great_ai with an underscore. The great-ai CLI tool is also available as python3 -m great_ai.
To help with the confusion, a CLI executable called great_ai (and large_file) are also installed. Thus, if you prefer, you can always refer to GreatAI using its underscored name variant (great_ai).
Windows
On Windows, you might encounter a similar warning from pip:
WARNING: The scripts great-ai.exe, great_ai.exe, large-file.exe and large_file.exe are installed in 'C:\Users\...\Scripts', which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
This means that great-ai.exe and large-file.exe are not in your PATH. Either add their containing directory ('C:\Users...\Scripts' in this case) to your PATH or use python3 -m great_ai and python3 -m great_ai.large_file instead of the exe-s.
Update#
If you wish to update to the latest version, execute:
Bleeding edge#
You can also install the latest (usually unreleased) version from GitHub.
Python 3.7 or later is required.