demo the use with project object

see documentation in: https://docs.mlrun.org/en/latest/projects/overview.html

When our project is already created and stored in a git archive we can quickly load and use it with the mlrun.load_project() method. load_project will use a local context directory (with initialized git) or clone a remote repo into the local dir and return a project object.

Users need to provide the path to the context dir and the git/zip/tar archive url, the name can be specified or taken from the project object, they can also specify secrets (repo credentials), init_git flag (to initialize git in the context dir), clone flag (indicating we must clone and ignore/remove local copy), and user_project flag (indicate the project name is unique to the user).

example, load a project from git and run the main workflow:

project = mlrun.load_project("./", "git://github.com/mlrun/project-demo.git")
project.run("main", arguments={'data': data_url})

Loading a project from git into ./project :

mlrun project -n myproj -u "git://github.com/mlrun/project-demo.git" ./project

Running a specific workflow (main) from the project stored in . (current dir):

mlrun project -r main -w ./project