old ui

app.py

@@ -8,7 +8,7 @@ llm = Llama.from_pretrained(
 )
 
 def predict(message, history):
-    messages = [{"role": "system", "content": "You are a helpful assistant."}]
+    messages = [{"role": "system", "content": "You are a helpful assistant who answers questions in a concise but thorough way. Prioritize clarity and usefulness in all interactions."}]
     for user_message, bot_message in history:
         if user_message:
             messages.append({"role": "user", "content": user_message})
@@ -26,7 +26,7 @@ def predict(message, history):
             response += part
         yield response
 
-demo = gr.ChatInterface(predict)
+demo = gr.ChatInterface(predict, theme="Shivi/calm_seafoam")
 
 if __name__ == "__main__":
     demo.launch()