Running multiple models independently

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I don’t clearly get how to run this infer function in two cameras at the same time

I have this

configs = [
        {
            "VIDEO_SOURCE": 0,
            "DEVICE_NAME": "CAMERA1"
        },
        {
            "VIDEO_SOURCE": 1,
            "DEVICE_NAME": "CAMERA2"
        }
    ]

person_detection_model_path = "yolo11n_silu_coco--640x640_quant_hailort_hailo8l_1"

person_detection_model = dg.load_model(
    model_name=person_detection_model_path,
    inference_host_address='@local',
    zoo_url=zoo_url,
    overlay_color=(0, 255, 0),
    output_class_set={"person"}
)

def infer(device_name, source):
  with degirum_tools.Display(device_name) as output_display:
      # for detected_persons in degirum_tools.predict_stream(person_detection_model, video_source, analyzers=[tracker, line_counter]):
      for detected_persons in degirum_tools.predict_stream(person_detection_model, source, analyzers=[tracker]):
  ---->>> HERE ALL THE LOGIC TO MANAGE DATA OF DETECTED PERSONS

But I need it to fit with the given example