Update README.md

README.md

@@ -1,3 +1,5 @@
+![header](https://neptune.ai/wp-content/uploads/2023/11/kedro.svg)
+
 # Neptune + Kedro integration
 
 Kedro plugin for experiment tracking and metadata management. It lets you browse, filter and sort runs in a nice UI, visualize node/pipeline metadata, and compare pipelines.
@@ -9,68 +11,14 @@ Kedro plugin for experiment tracking and metadata management. It lets you browse
 * **display all pipeline metadata** including learning curves for metrics, plots, and images, rich media like video and audio or interactive visualizations from Plotly, Altair, or Bokeh
 * and do whatever else you would expect from a modern ML metadata store
 
-![image](https://user-images.githubusercontent.com/97611089/160640893-9b95aac1-095e-4869-88a1-99f2cba5a59f.png)
+![kedro](https://github.com/neptune-ai/kedro-neptune/assets/41324509/81a2c9b0-cbb7-4120-b111-434d441f08a0)
 *Kedro pipeline metadata in custom dashboard in the Neptune web app*
 
-Note: The Kedro-Neptune plugin supports distributed pipeline execution and works in Kedro setups that use orchestrators like Airflow or Kubeflow.
-
 ## Resources
 
 * [Documentation](https://docs.neptune.ai/integrations/kedro)
-* [Code example on GitHub](https://github.com/neptune-ai/examples/tree/main/integrations-and-supported-tools/kedro/scripts/kedro-neptune-quickstart)
-* [Example run logged in the Neptune app](https://app.neptune.ai/o/common/org/kedro-integration/e/KED-1563/dashboard/Basic-pipeline-metadata-42874940-da74-4cdc-94a4-315a7cdfbfa8)
-* How to [Compare Kedro pipelines](https://docs.neptune.ai/integrations/kedro_comparing_pipelines/)
-* How to [Compare results between Kedro nodes](https://docs.neptune.ai/integrations/kedro_comparing_nodes/)
-* How to [Display Kedro node metadata and outputs](https://docs.neptune.ai/integrations/kedro_displaying_node_outputs/)
-
-## Example
-
-On the command line:
-
-```
-pip install kedro neptune[kedro]
-kedro new --starter=pandas-iris
-```
-
-In your Kedro project directory:
-
-```
-kedro neptune init
-```
-
-In a pipeline node, in `nodes.py`:
-
-```python
-import neptune
-
-# Add a Neptune run handler to the report_accuracy() function
-
-def report_accuracy(
-    y_pred: pd.Series,
-    y_test: pd.Series,
-    neptune_run: neptune.handler.Handler,
-) -> None:
-    accuracy = (y_pred == y_test).sum() / len(y_test)
-    logger = logging.getLogger(__name__)
-    logger.info("Model has accuracy of %.3f on test data.", accuracy)
-
-    # Log metrics to the Neptune run
-    neptune_run["nodes/report/accuracy"] = accuracy * 100
-
-# Add the Neptune run handler to the Kedro pipeline
-node(
-    func=report_accuracy,
-    inputs=["y_pred", "y_test", "neptune_run"],
-    outputs=None,
-    name="report_accuracy",
-)
-```
-
-On the command line, run the Kedro pipeline:
-
-```
-kedro run
-```
+* [Code example on GitHub](https://github.com/neptune-ai/examples/tree/main/integrations-and-supported-tools/kedro/scripts/spaceflights)
+* [Example run logged in the Neptune app]([https://app.neptune.ai/o/common/org/kedro-integration/e/KED-1563/dashboard/Basic-pipeline-metadata-42874940-da74-4cdc-94a4-315a7cdfbfa8](https://app.neptune.ai/o/common/org/kedro-integration/runs/details?viewId=standard-view&detailsTab=dashboard&dashboardId=Spaceflights-42874940-da74-4cdc-94a4-315a7cdfbfa8&shortId=KED-2098))
 
 ## Support