n the respective artifact in the pipeline run DAG.Alternatively, if you are running inside a Jupyter notebook, you can load and render the reports using the artifact.visualize() method, e.g.:

from zenml.client import Client

def visualize_results(pipeline_name: str, step_name: str) -> None:

pipeline = Client().get_pipeline(pipeline=pipeline_name)

evidently_step = pipeline.last_run.steps[step_name]

evidently_step.visualize()

if __name__ == "__main__":

visualize_results("text_data_report_pipeline", "text_report")

visualize_results("text_data_test_pipeline", "text_test")

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