The get_related_term function in the hana_ml.text.tm module returns the top-ranked related terms for a query term or multiple terms based on Term Frequency - Inverse Document Frequency (TF-IDF) result or reference data, with various parameters to customize the input data, reference data, language, index name, thread ratio, and created index.
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Here is a Python code template based on the provided help documentation:

```python
# Import required module
from hana_ml.text import tm

# Define your dataframes
# pred_data and ref_data should be pandas dataframes or similar
pred_data = ...
ref_data = ...

# Define optional parameters
top = ...
threshold = ...
lang = 'EN'
index_name = ...
thread_ratio = ...
created_index = ...
key = ...

# Call the function
result = tm.get_related_term(pred_data=pred_data, 
                             ref_data=ref_data, 
                             top=top, 
                             threshold=threshold, 
                             lang=lang, 
                             index_name=index_name, 
                             thread_ratio=thread_ratio, 
                             created_index=created_index, 
                             key=key)

# Print or use the result
print(result)
```

Please replace the `...` with your actual data or values.