Refactor investment agent implementation to use 'Agent' class instead of 'Assistant'

ai_agent_tutorials/ai_investment_agent/investment_agent.py

@@ -1,6 +1,6 @@
 # Import the required libraries
 import streamlit as st
-from agno.agent import Assistant
+from agno.agent import Agent
 from agno.models.openai import OpenAIChat
 from agno.tools.yfinance import YFinanceTools
 
@@ -12,11 +12,12 @@ st.caption("This app allows you to compare the performance of two stocks and gen
 openai_api_key = st.text_input("OpenAI API Key", type="password")
 
 if openai_api_key:
-    # Create an instance of the Assistant
-    assistant = Assistant(
+    # Create an instance of the Agent
+    agent = Agent(
         llm=OpenAIChat(model="gpt-4o", api_key=openai_api_key),
         tools=[YFinanceTools(stock_price=True, analyst_recommendations=True, company_info=True, company_news=True)],
         show_tool_calls=True,
+        markdown=True
     )
 
     # Input fields for the stocks to compare
@@ -24,7 +25,7 @@ if openai_api_key:
     stock2 = st.text_input("Enter the second stock symbol")
 
     if stock1 and stock2:
-        # Get the response from the assistant
+        # Get the response from the Agent
         query = f"Compare {stock1} to {stock2}. Use every tool you have."
-        response = assistant.run(query, stream=False)
+        response = agent.run(query, stream=False)
         st.write(response.content)