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Docs: Add get_run_logger to imports in interactive workflow examples #12284

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6 changes: 4 additions & 2 deletions docs/guides/creating-interactive-workflows.md
Original file line number Diff line number Diff line change
Expand Up @@ -40,7 +40,7 @@ To receive input while paused or suspended use the `wait_for_input` parameter in
The simplest way to pause or suspend and wait for input is to pass a built-in type:

```python
from prefect import flow, pause_flow_run
from prefect import flow, pause_flow_run, get_run_logger

@flow
def greet_user():
Expand All @@ -60,7 +60,7 @@ In this example, the flow run will pause until a user clicks the Resume button i
Instead of a built-in type, you can pass in a `pydantic.BaseModel` class. This is useful if you already have a `BaseModel` you want to use:

```python
from prefect import flow, pause_flow_run
from prefect import flow, pause_flow_run, get_run_logger
from pydantic import BaseModel


Expand All @@ -87,6 +87,7 @@ async def greet_user():
Finally, for advanced use cases like overriding how Prefect stores flow run inputs, you can create a `RunInput` class:

```python
from prefect import get_run_logger
from prefect.input import RunInput

class UserInput(RunInput):
Expand All @@ -113,6 +114,7 @@ You can set default values for fields in your model by using the `with_initial_d
Expanding on the example above, you could make the `name` field default to "anonymous":

```python
from prefect import get_run_logger
from prefect.input import RunInput

class UserInput(RunInput):
Expand Down