adam is a quick fps demo to test how well WebGL performs using Unity.
++ adam is a quick fps demo to test how well WebGL + performs using Unity. +
diff --git a/dennis/src/dennis.py b/dennis/src/dennis.py
index 2a5b14f..865a6ec 100644
--- a/dennis/src/dennis.py
+++ b/dennis/src/dennis.py
@@ -25,6 +25,13 @@ def get_html(content):
fake_db = [
+ Article(
+ content_type='project',
+ title='''Lightning''',
+ date=date(2023, 4, 27),
+ content=get_html('projects/20230427-lightning.html'),
+ ),
+
Article(
content_type='project',
title='''Cartman is public!''',
diff --git a/dennis/static/games/adam.html b/dennis/static/games/adam.html
index 282bb94..cf480e4 100644
--- a/dennis/static/games/adam.html
+++ b/dennis/static/games/adam.html
@@ -1,3 +1,6 @@
adam is a quick fps demo to test how well WebGL performs using Unity.
+ adam is a quick fps demo to test how well WebGL
+ performs using Unity.
+ balls is another demo to test WebGL performance. This time using Godot Engine.
+ balls is another demo to test WebGL performance.
+ This time using Godot Engine.
+
+ fps is a Godot/WebGL experiment from scratch with
+ multiplayer using websockets and a master/slave architecture. Invite a friend or open multiple instances!
+
+ snek is a simple snake game made with JS/Canvas. +
+- Requests are routed from - Nginx - through - WireGuard - to a - Raspberry Pi 4B 8GB - running - FastAPI, - and the Cartman model using PyTorch. - It has enough RAM for more, but the CPU is pretty much at its limit. Expect it to take a few - seconds, I'm cheap. Sorry(kinda). -
-+ Cartman is trained by combining Microsoft's + DialoGPT-large + NLP model (trained on 147M samples of multi-turn dialogue from Reddit) with 17 seasons of + South Park + transcripts. +
++ Requests are routed from + Nginx + through + WireGuard + to a + Raspberry Pi 4B 8GB + running + FastAPI, + and the Cartman model using PyTorch. + It has enough RAM for more, but the CPU is pretty much at its limit. Expect it to take a few + seconds, I'm cheap. Sorry(kinda). +
You can download a Docker image if you'd like to run it on your own hardware for either
x86_64
diff --git a/dennis/static/projects/20230427-lightning.html b/dennis/static/projects/20230427-lightning.html
new file mode 100644
index 0000000..30e4de2
--- /dev/null
+++ b/dennis/static/projects/20230427-lightning.html
@@ -0,0 +1,11 @@
+
+ Lightning is a mapping/data vis project for finding
+ EV charging stations. It uses Martin to serve
+ tiles generated from OpenStreetMap data to a MapLibre frontend. Additional layers are added on top
+ via Deck.gl using data from EVChargerFinder made by by friend
+ Kevin.
+