remove playground from all docs versions

docs/versioned_docs/version-2.x/how-to-deploy.mdx

@@ -69,7 +69,7 @@ for doing so, as well as manual instructions for any custom setups.
 It is also possible to deploy a Rasa assistant without Rasa X using Docker Compose. To do so, you can build your
 Rasa Assistant locally or in Docker. Then you can deploy your model in Docker Compose.
 
-* [Building a Rasa Assistant Locally](./playground.mdx)
+* Building a Rasa Assistant Locally
 
 * [Building a Rasa Assistant in Docker](./docker/building-in-docker.mdx)
 

docs/versioned_docs/version-2.x/installation.mdx

@@ -8,13 +8,6 @@ import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';
 import { Button } from '@theme/Button';
 
-:::note Want to explore first?
-You can explore Rasa Open Source online using the Rasa Playground even before you install.
-At the end of the tutorial you can download the resulting assistant, install Rasa on
-your machine and continue development locally.
-<a className="button button--outline button button" href={useBaseUrl("/playground")}>Rasa Playground</a>
-:::
-
 
 ## Quick Installation
 
@@ -235,11 +228,6 @@ You can read more about how that data is pulled out and what it is used for in t
 
 **Congratulations! You have successfully installed Rasa Open Source!**
 
-Next step: Use the Rasa Playground to prototype your first assistant in the browser and download it afterwards
-
-
-<Button as="a" href={useBaseUrl("/playground")}>Rasa Playground</Button>
-
 ## Building from Source
 
 If you want to use the development version of Rasa Open Source, you can get it from GitHub:

docs/versioned_docs/version-2.x/introduction.mdx

@@ -2,15 +2,15 @@
 slug: /
 sidebar_label: Introduction
 title: Introduction to Rasa Open Source
-hide_table_of_contents: true 
+hide_table_of_contents: true
 description: Learn more about open-source natural language processing library Rasa for conversation handling, intent classification and entity extraction in on premise chatbots.
 abstract: Rasa is an open source machine learning framework for automated text and voice-based conversations. Understand messages, hold conversations, and connect to messaging channels and APIs.
 ---
 import useBaseUrl from '@docusaurus/useBaseUrl';
 
 ## Prototype an Assistant
 
-Try out Rasa Open Source before you install by prototyping in the [Rasa Playground](playground.mdx)!
+Try out Rasa Open Source before you install by prototyping in the Rasa Playground.
 
 ## Quick Install
 

docs/versioned_docs/version-3.x/installation/installing-rasa-open-source.mdx

@@ -9,19 +9,6 @@ import Tabs from "@theme/Tabs";
 import TabItem from "@theme/TabItem";
 import { Button } from "@theme/Button";
 
-:::note Want to explore first?
-You can explore Rasa Open Source online using the Rasa Playground even before you install it.
-At the end of the tutorial, you can download the resulting assistant, install Rasa on
-your machine and continue development locally.
-
-<a
- className="button button--outline button button"
- href={useBaseUrl("/playground")}
->
- Rasa Playground
-</a>
-:::
-
 ## Install Rasa Open Source
 
 <Tabs values={[{"label": "Ubuntu / macOS / Windows", "value": "ubuntu/macos/windows"}]} defaultValue="ubuntu/macos/windows">
@@ -147,7 +134,7 @@ python3 -m spacy download en_core_web_md
 
 :::tip Using `zsh`?
 
-In zsh, square brackets are interpreted as patterns on the command line. 
+In zsh, square brackets are interpreted as patterns on the command line.
 To run commands with square brackets, you can either enclose the arguments
 with square brackets in quotes, like `pip3 install 'rasa[spacy]'`, or escape
 the square brackets using backslashes, like `pip3 install rasa\[spacy\]`.