Add code (#173)

docs/turn_taking_gallery.md

@@ -14,11 +14,11 @@
 }
 </style>
 
-A collection of VAD models ready to use with FastRTC. Click on the tags below to find the VAD model you're looking for!
-
+A collection of Turn Taking Algorithms and Voice Activity Detection (VAD) models ready to use with FastRTC. Click on the tags below to find the model you're looking for!
 
 <div class="tag-buttons">
-  <button class="tag-button" data-tag="pytorch"><code>pytorch</code></button>
+  <button class="tag-button" data-tag="vad-models"><code>VAD Model</code></button>
+  <button class="tag-button" data-tag="turn-taking-algorithm"><code>Turn-taking Algorithm</code></button>
 </div>
 
 <script>
@@ -41,27 +41,60 @@ document.querySelectorAll('.tag-button').forEach(button => {
 });
 </script>
 
+## Gallery
 
 <div class="grid cards" markdown>
 
--   :speaking_head:{ .lg .middle }:eyes:{ .lg .middle } __Your VAD Model__
-{: data-tags="pytorch"}
+-   :speaking_head:{ .lg .middle }:eyes:{ .lg .middle } __Walkie Talkie__
+{: data-tags="turn-taking-algorithm"}
 
     ---
 
     Description
+    The user's turn ends when they finish a sentence with the word "over".
+    For example, "Hello, how are you? Over." would send end the user's turn and trigger the response.
+    This is intended as a simple reference implementation for how to implement a custom-turn-taking algorithm.
 
     Install Instructions
+    ```bash
+    pip install fastrtc-walkie-talkie
+    ``` 
 
-    Usage
+    <video width=98% src="https://github.com/user-attachments/assets/d94c1b91-5430-48b0-801d-15e17bdad2a0" controls style="text-align: center"></video>
 
-    [:octicons-arrow-right-24: Demo](Your demo here)
+    [:octicons-arrow-right-24: Demo](https://github.com/freddyaboulton/fastrtc-walkie-talkie/blob/main/scratch.py)
     
-    [:octicons-code-16: Repository](Code here)
+    [:octicons-code-16: Repository](https://github.com/freddyaboulton/fastrtc-walkie-talkie/blob/main/src/fastrtc_walkie_talkie/__init__.py)
 
 </div>
 
-## How to add your own VAD model
+## What is this for?
+
+By default, FastRTC uses the `ReplyOnPause` class to handle turn-taking. However, you may want to tweak this behavior to better fit your use case.
+
+In this gallery, you can find a collection of turn-taking algorithms and VAD models that you can use to customize the turn-taking behavior to your needs. Each card contains install and usage instructions.
+
+## How to add your own Turn-taking Algorithm or VAD model
+
+### Turn-taking Algorithm
+
+1. Typically you will want to subclass the `ReplyOnPause` class and override the `determine_pause` method.
+
+    ```python
+    from fastrtc.reply_on_pause import ReplyOnPause, AppState
+    class MyTurnTakingAlgorithm(ReplyOnPause):
+        def determine_pause(self, audio: np.ndarray, sampling_rate: int, state: AppState) -> bool:
+            return super().determine_pause(audio, sampling_rate, state)
+    ```
+
+2. Then package your class into a pip installable package and publish it to [pypi](https://pypi.org/).
+
+3. Open a [PR](https://github.com/freddyaboulton/fastrtc-walkie-talkie/blob/main/src/fastrtc_walkie_talkie/__init__.py) to add your model to the gallery!
+
+!!! tip "Example Implementation"
+    See the [Walkie Talkie](https://github.com/freddyaboulton/fastrtc-walkie-talkie/) package for an example implementation of a turn-taking algorithm.
+
+### VAD Model
 
 1. Your model can be implemented in **any** framework you want but it must implement the `PauseDetectionModel` protocol.
     ```python
@@ -105,4 +138,7 @@ document.querySelectorAll('.tag-button').forEach(button => {
     stream.ui.launch()
     ```
 
-3. Open a [PR](https://github.com/freddyaboulton/fastrtc/edit/main/docs/vad_gallery.md) to add your model to the gallery! Ideally you model package should be pip installable so other can try it out easily.
+3. Open a [PR](https://github.com/freddyaboulton/fastrtc/edit/main/docs/turn_taking_gallery.md) to add your model to the gallery! Ideally you model package should be pip installable so other can try it out easily.
+
+!!! tip "Package Naming Convention"
+    It is recommended to name your package `fastrtc-<package-name>` so developers can easily find it on [pypi](https://pypi.org/search/?q=fastrtc-).