Learn Python by Building Data Science Applications

Setting up a simple model

Similar to how we built a REST API in Chapter 18, Serving Models with a RESTful API, let's start by serving median values from a JSON file. This will help us to set the model for working with Chalice:

1. First of all, we need to load the JSON object:

import jsonwith open('./model.json', 'r') as f:    model = json.load(f)

2. Now we will rename the route and define the last resource to map to the complaint type (in the same way we would for FastAPI, again!). We will also have to import a Response object:

from chalice import [e-mail]('/predict/{complaint_type}', methods=['GET'])def predict(complaint_type:str) -> Response:

3. Finally, finalize the function by adding simple lookup logic; here, we decided to be ...