The BestPipelineReport class in the hana_ml.visualizers.automl_report module generates a report of the best pipeline, either as a HTML file or a notebook iframe, using an instance of AutomaticClassification or AutomaticRegression.
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Here is a Python code template based on the provided documentation:

```python
# Import necessary modules
from hana_ml.visualizers.automl_report import BestPipelineReport
from hana_ml.algorithms.pal.auto_ml import AutomaticClassification
import uuid

# Create an AutomaticClassification instance
progress_id = "automl_{}".format(uuid.uuid1())
auto_c = AutomaticClassification(generations=2,
                                 population_size=5,
                                 offspring_size=5,
                                 progress_indicator_id=progress_id)

# Training
auto_c.fit(data=df_train)  # df_train should be your training data

# Create a BestPipelineReport instance
report = BestPipelineReport(auto_c)

# Generate the best pipeline report as a notebook iframe
report.generate_notebook_iframe()

# Save the best pipeline report as a html file
report.generate_html("best_pipeline_report.html")
```

Please replace `df_train` with your actual training data. Also, make sure to provide a valid filename in the `generate_html` method.