Merge pull request #66 from continuedev/dlt-transform

add transform to dlt pipeline recipe

1 files changed, 1 insertions, 3 deletions

diff --git a/docs/docs/walkthroughs/create-a-recipe.md b/docs/docs/walkthroughs/create-a-recipe.md
index 60bfe9a8..3b80df8a 100644
--- a/docs/docs/walkthroughs/create-a-recipe.md
+++ b/docs/docs/walkthroughs/create-a-recipe.md
@@ -17,8 +17,6 @@ continue/continuedev/src/continuedev/recipes
 

 ## 1. Create a step

 

-

-

 ### a. Start by creating a subclass of Step

 

 You should first consider what will be the parameters of your recipe. These are defined as attributes in the step, as with `input_file_path: str` below

@@ -33,7 +31,7 @@ If you'd like to override the default description of your steps, which is just t
 

 - Return a static string

 - Store state in a class attribute (prepend with a double underscore, which signifies (through Pydantic) that this is not a parameter for the Step, just internal state) during the run method, and then grab this in the describe method.

-- Use state in conjunction with the `models` parameter of the describe method to autogenerate a description with a language model. For example, if you'd used an attribute called `__code_written` to store a string representing some code that was written, you could implement describe as `return (await models.gpt35()).complete(f"{self.\_\_code_written}\n\nSummarize the changes made in the above code.")`.

+- Use state in conjunction with the `models` parameter of the describe method to autogenerate a description with a language model. For example, if you'd used an attribute called `__code_written` to store a string representing some code that was written, you could implement describe as `return models.gpt35.complete(f"{self.\_\_code_written}\n\nSummarize the changes made in the above code.")`.

 

 ## 2. Compose steps together into a complete recipe