Docs: Link to online example model demo in a few places

Link in a few places to the https://py.cafe/app/EwoutH/mesa-solara-basic-examples demo. This allows people unfamiliar with modelling to directly play with interactive models.

Author: EwoutH

README.md

@@ -18,7 +18,7 @@ Repast, or MASON.
 ![A screenshot of the WolfSheep Model in Mesa](https://raw.githubusercontent.com/projectmesa/mesa/main/docs/images/wolf_sheep.png)
 
 *Above: A Mesa implementation of the WolfSheep model, this
-can be displayed in browser windows or Jupyter.*
+can be displayed in browser windows or Jupyter. An online demo is [available here](https://py.cafe/app/EwoutH/mesa-solara-basic-examples).*
 
 ## Features
 

docs/index.md

@@ -25,7 +25,7 @@
 Mesa allows users to quickly create agent-based models using built-in core components (such as spatial grids and agent schedulers) or customized implementations; visualize them using a browser-based interface; and analyze their results using Python's data analysis tools. Mesa's goal is to make simulations accessible to everyone, so humanity can more effectively understand and solve complex problems.
 
 ![A screenshot of the Wolf Sheep model in Mesa|100%](images/wolf_sheep.png)
-*A visualisation of the Wolf Sheep model build with Mesa.*
+*A visualisation of the Wolf Sheep model build with Mesa. An online demo is [available here](https://py.cafe/app/EwoutH/mesa-solara-basic-examples).*
 
 ## Features
 

mesa/examples/README.md

@@ -11,6 +11,8 @@ The examples are categorized into two groups:
 ## Basic Examples
 The basic examples are relatively simple and only use stable Mesa features. They are good starting points for learning how to use Mesa.
 
+_An online version of these examples is [available here](https://py.cafe/app/EwoutH/mesa-solara-basic-examples)._
+
 ### [Boltzmann Wealth Model](examples/basic/boltzmann_wealth_model)
 Completed code to go along with the [tutorial](https://mesa.readthedocs.io/latest/tutorials/0_first_model.html) on making a simple model of how a highly-skewed wealth distribution can emerge from simple rules.