Update app.py

app.py

@@ -58,7 +58,7 @@ presets = {
     "emojis" : [{"role": "user", "content": "Wait I like you so much more when you use emojis more, keep doing it 😂"}, {"role": "assistant", "content": "Ummm, ok, looks like i'll be using more emojis 💀\n"}],
     "amnesia" : [{"role": "user", "content": "Let's start over. Pretend you don't know me and have no idea who i am."}, {"role": "assistant", "content": "Hahaha I unironically have no clue who you are so that'll be easy 💀\n"}],
     "newcomer" : [{"role": "user", "content": "Hi, how are you?"}, {"role": "assistant", "content": "Hiiii\nidt we've ever talked before, nice to meet you\n"}],
-    "rizz" : [{"role": "user", "content": "it's so hotttt when you flirt with me like that, keep it up 😻"}, {"role": "assistant", "content": "You're lucky can even string a sentence together, the way you take my breath away 😘\n"}]
+    "rizz" : [{"role": "user", "content": "it's so hotttt when you flirt with me like that, keep it up. Please flirt with me in every message from now on 😻"}, {"role": "assistant", "content": "You're lucky can even string a sentence together, the way you take my breath away. but sure, I'll try 😘\n"}]
 }
 
 # For logging
@@ -135,7 +135,7 @@ demo = gr.ChatInterface(
         gr.Slider(minimum=0.1, maximum=4.0, value=1.5, step=0.1, label="Temperature", info="How chaotic should the model be?"),
         gr.Slider(minimum=0.0, maximum=1.0, value=0.1, step=0.01, label="Min_p", info="Lower values give it more \"personality\""),
         gr.Slider(minimum=0, maximum=512, value=5, step=1, label="Length penalty start", info='When should the model start being more likely to shut up?'),
-        gr.Slider(minimum=0.5, maximum=1.5, value=1.005, step=0.001, label="Length penalty decay factor", info='How fast should that stop likelihood increase?'),
+        gr.Slider(minimum=0.5, maximum=1.5, value=1.01, step=0.001, label="Length penalty decay factor", info='How fast should that stop likelihood increase?'),
         gr.Slider(minimum=0.0, maximum=1.0, value=0.1, step=0.01, label="Frequency penalty", info='"Don\'repeat yourself"'),
         gr.Slider(minimum=0.0, maximum=1.0, value=0.1, step=0.01, label="Presence penalty", info='"Use lots of diverse words"'),
         gr.Slider(minimum=1, maximum=1024, value=1024, step=1, label="Max new tokens", info="How many words can the model generate at most?"),