made chatbot a shopping assistant

app.py

@@ -5,7 +5,8 @@ client = InferenceClient("meta-llama/Llama-3.1-8B-Instruct")
 
 def respond(message, history):
     
-    messages = [{"role": "system", "content": "You are a friendly chatbot."}]
+    messages = [{"role": "system", "content": "You are a shopping assistant. Help the user decide what items to buy based on their price constraints and interests. 
+    You should always give at least two options in response to questions."}]
     
     if history:
         messages.extend(history)
@@ -18,7 +19,7 @@ def respond(message, history):
         model="meta-llama/Llama-3.1-8B-Instruct",
         temperature=0.8,
         messages=messages,
-        max_tokens=100,
+        max_tokens=500,
         stream=True
     ):
         token = message.choices[0].delta.content