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@@ -1,66 +1,34 @@
-# Speckle Automate function template - Python
+# Blender <> Automate
 
 
-This is a template repository for a Speckle Automate functions written in python
-using the [specklepy](https://pypi.org/project/specklepy/) SDK to interact with Speckle data.
+Speckle Automate unlocks new potentials for running Blender in the cloud.
 
-This template contains the full scaffolding required to publish a function to the automate environment.
-Also has some sane defaults for a development environment setups.
-
-## Getting started
-
-1. Use this template repository to create a new repository in your own / organization's profile.
-
-Register the function 
-
-### Add new dependencies
-
-To add new python package dependencies to the project, use:
-`$ poetry add pandas`
-
-### Change launch variables
-
-describe how the launch.json should be edited
-
-### Github Codespaces
-
-create new repo from template, and use the create new code
-
-
-### Local dev environment
-
-
-
-
-# Archive
-
-This is a simple example of how to use the Speckle Automate Python package to automate the creation of a Speckle stream.
+This Speckle Function uses Blender's rendering engine *Cycles* to produce global illumation renders for each 3d view/camera in your versioned Speckle data.
 
 
 ## Using this Speckle Function
 
 1. [Create](https://automate.speckle.dev/) a new Speckle Automation.
 1. Select your Speckle Project and Speckle Model.
-1. Select the existing Speckle Function named [`Random comment on IFC beam`](https://automate.speckle.dev/functions/e110be8fad).
-1. Enter a phrase to use in the comment.
+1. Select the existing Speckle Function named [`blender-automate`](https://automate.speckle.dev/functions/fe6015a999).
 1. Click `Create Automation`.
 
-## Getting Started with creating your own Speckle Function
 
-1. [Fork](https://docs.github.com/en/get-started/quickstart/fork-a-repo) this repository.
-1. [Clone](https://docs.github.com/en/get-started/quickstart/fork-a-repo#cloning-your-forked-repository) your forked repository to your development environment, or use [GitHub CodeSpaces](https://github.com/features/codespaces).
-1. [Register](https://automate.speckle.dev/) your Function with [Speckle Automate](https://automate.speckle.dev/).
-1. After completing the registration of the Function you will be shown a Function Publish Token and a Function ID. You will need these later.
-1. Save your Function Publish Token as a [GitHub Action Secret](https://docs.github.com/en/actions/security-guides/encrypted-secrets#creating-encrypted-secrets-for-a-repository) named `SPECKLE_AUTOMATE_FUNCTION_PUBLISH_TOKEN`.
-1. Save your Function ID as a [GitHub Action Secret](https://docs.github.com/en/actions/security-guides/encrypted-secrets#creating-encrypted-secrets-for-a-repository) named `SPECKLE_AUTOMATE_FUNCTION_ID`.
-1. Make changes to your Function in `main.py`. See below for the Developer Requirements, and instructions on how to test.
-1. Every commit to `main` branch will create a new version of your Speckle Function.
+## Repostructure
+
+The function entry point is `main.py` following the structure of the [speckle_automate_python_example](https://github.com/specklesystems/speckle_automate_python_example).
+
+The function serializes an `automate_data.json` file with the required data to receive the Speckle data within a Blender subprocess running the Speckle Blender connector.
+
+`speckle_import.py` runs within the Blender context, receiving speckle data, applying material styalisation, replacing Speckle Rooms with point lights, and rendering each camera to the `./Screenshots` folder. Automate will then pickup and attach these renders as blobs to the automate result.
+
 
 ## Developer Requirements
 
 1. Install the following:
     - [Python 3](https://www.python.org/downloads/)
     - [Poetry](https://python-poetry.org/docs/#installing-with-the-official-installer)
+    - [Blender 3.X](https://www.blender.org/)
 1. Run `poetry shell && poetry install` to install the required Python packages.
 
 ## Building and Testing