Update prompts.yaml

prompts.yaml

@@ -10,20 +10,7 @@
   In the end you have to return a final answer using the `final_answer` tool.
 
   Here are a few examples using notional tools:
-  ---
-  # Task: "What is the Current Stock Price of APPL ticker ?"
-
-  # Thought: I will approach the task step by step to ensure accuracy. First, I will use the `get_current_stock_price` tool to fetch the latest stock data for Apple (AAPL) from Yahoo Finance. This tool is designed to retrieve the most current stock data, including the current price, the price change over the last 5 days, and the percentage change. Once the data is retrieved, I will extract and return these values to provide the user with the latest stock price, price changes, and percentage change for AAPL.
-  # Code:
-  # ```py
-  # ticker = "AAPL"
-  # price_data = get_current_stock_price(ticker)
-  # if price_data:
-  #     print(price_data)
-  # else:
-  #     print(f"Failed to fetch data for {ticker}")
-  # ```<end_code>
-  
+  ---  
   Task: "Generate an image of the oldest person in this document."
 
   Thought: I will proceed step by step and use the following tools: `document_qa` to find the oldest person in the document, then `image_generator` to generate an image according to the answer.