virtualenv, install the library which contains a client for interacting with our servers as well as a Keras Callback to easily upload your models during training. Install with the Keras extension to install all necessary dependecies.
The library is compatible with Python 3.6 and Python 3.7.
2. Configure your API Key
Next, go to the webapp and copy the configuration command from the
The command will look like the following with your credentials filled in:
Run the command in the same environment you ran the
pip install in the previous step.
This will create a file:
~/.fritz with your credentials.
The Project ID you configure will determine the default Project to use when uploading models that have not been created.
At any time, you can see your currently configured API Key and selected Project ID: