update temperature and content of chatbot

app.py

@@ -9,14 +9,14 @@ client= InferenceClient("Qwen/Qwen2.5-7B-Instruct-1M")
 #defining role of AI and user
 def respond(message,history):
 
-    messages = [{"role": "assistant", "content": "You are a friendly chatbot."}]
+    messages = [{"role": "system", "content": "You are acting like a comforting, guiding parent helping their child navigate academia.."}]
 
     if history:
         messages.extend(history) #keep adding history 
 
     messages.append({"role":"user", "content": message})
 
-    response=client.chat_completion(messages, temperature=1.5, max_tokens=300) #capping how many words the LLM is allowed to generate as a respond (300 words)
+    response=client.chat_completion(messages, temperature=0.8, max_tokens=300) #capping how many words the LLM is allowed to generate as a respond (300 words)
 
     return response['choices'][0]['message']['content'].strip() #storing value of response in a readable format to display