Update app.py

app.py

@@ -23,6 +23,10 @@ def respond(message, history): #function for Gradio to call
     # chat completion API call forwarding the messages & other params to model
     response = client.chat_completion(messages, max_tokens=100, temperature = 2, top_p=0.95) #deepseek R1 recomended temp range: 0.5-0.7
     return response.choices[0].message.content.strip()
+        # max_tokens, to limit the number of tokens that can be  generated
+        # temperature, which controls randomness (higher = more random)
+        # top_p, an alternative to sampling with temperature
+
 
 # defining chatbot
 chatbot = gr.ChatInterface(respond, title = "", description = "") #using gradio to quickly build a chatbot UI (w/ convo history & user input)