Merge pull request #31 from vgoliber/main

Update to standard template

Author: k8culver

.gitignore

@@ -1 +1,3 @@
-__pycache__
+__pycache__
+assets/__generated_theme.css
+cache

README.md

@@ -7,6 +7,9 @@
 This demo showcases feature selection using a nonlinear (NL) model
 or a constrained quadratic model (CQM) via
 [D-Wave's scikit-learn plug-in](https://github.com/dwavesystems/dwave-scikit-learn-plugin).
+
+![Demo Example](static/demo.png)
+
 The demo can be used with two different datasets:
 
 - `titanic`: This is a well-known dataset based on passenger survival from the
@@ -55,7 +58,7 @@ Your development environment should be configured to access the
 [Leap™ quantum cloud service](https://docs.dwavequantum.com/en/latest/ocean/sapi_access_basic.html).
 You can see information about supported IDEs and authorizing access to your Leap
 account
-[here](https://docs.dwavequantum.com/en/latest/leap_sapi/dev_env.html).
+[here](https://docs.dwavequantum.com/en/latest/ocean/leap_authorization.html).
 
 Run the following terminal command to start the Dash application:
 
@@ -64,6 +67,17 @@ python app.py
 ```
 
 Access the user interface with your browser at http://127.0.0.1:8050/.
+
+The demo program opens an interface where you can configure problems and submit these problems to
+a solver.
+
+Configuration options can be found in the [demo_configs.py](demo_configs.py) file.
+
+> [!NOTE]\
+> If you plan on editing any files while the application is running, please run the application
+with the `--debug` command-line argument for live reloads and easier debugging:
+`python app.py --debug`
+
 A dropdown menu is provided to choose the dataset.
 
 To visualize feature redundancy, first activate the "Show redundancy" check box.