class Model:
    def __init__(self, **kwargs):
        self._model = None

    def load(self):
        pass

    def predict(self, model_input):
        return model_input
This tutorial will guide you step-by-step through:
  1. Creating a Truss
  2. Connecting your local development environment to a model server
  3. Deploying a basic text classification model
  4. Publishing your model to production
On the right side, you’ll see what your Truss should look like after each step!

​
Install the Truss package

Make sure you’re using the newest version of Truss to complete this tutorial: 
pip install --upgrade truss

​
Create your Truss

Use the truss init <folder-name> command to create a Truss. 
truss init my-first-truss
When prompted, give your Truss a name like My First Truss

​
Get ready to code!

Navigate to the newly created directory: 
cd my-first-truss
Open the directory in your favorite text editor, such as Visual Studio Code. 
class Model:
    def __init__(self, **kwargs):
        self._model = None

    def load(self):
        pass

    def predict(self, model_input):
        return model_input