code: def add_wandb_visualization(run, mlpipeline_ui_metadata_path):
      """NOTE: To use this, you must modify your component to have an output called `mlpipeline_ui_metadata_path` AND call `wandb.init` yourself inside that component.
  
      Example usage:
  
      def my_component(..., mlpipeline_ui_metadata_path: OutputPath()):
          import wandb
          from wandb.integration.kfp.helpers import add_wandb_visualization
  
          with wandb.init() as run:
              add_wandb_visualization(run, mlpipeline_ui_metadata_path)
  
              ... # the rest of your code here
      """
  
      def get_iframe_html(run):
          return f'<iframe src="{run.url}?kfp=true" style="border:none;width:100%;height:100%;min-width:900px;min-height:600px;"></iframe>'
  
      iframe_html = get_iframe_html(run)
      metadata = {
          "outputs": [
              {
                  "type": "markdown",
                  "storage": "inline",
                  "source": iframe_html,
              }
          ]
      }
  
      with open(mlpipeline_ui_metadata_path, "w") as metadata_file:
          json.dump(metadata, metadata_file)
  
label_desc: Use image node_id 1 for calling a global function with example usage: add_wandb_visualization(run, mlpipeline_ui_metadata_path) and returns: str, run, str