python-client-example.py

import cortex

class PythonPredictor:
    def __init__(self, config):
        self.model = # Download model from any source (can also be configured in API spec).

    def predict(self, payload):
        return self.model(payload["input"])

requirements = ["torch"] # Add any requirements

api_spec = {"name": "example_api", "kind": "RealtimeAPI"} # Configure API specifics

cx = cortex.client("local")
cx.create_api(api_spec, predictor=PythonPredictor, requirements=requirements)