Update app.py

app.py

@@ -57,49 +57,11 @@ model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may
 custom_role_conversions=None,
 )
 
-system_message="""Answer the following questions as best you can. You have access to the following tools:
-{tools_description}
-
-The way you use the tools is by specifying a json blob.
-Specifically, this json should have a `action` key (with the name of the tool to use) and a `action_input` key (with the input to the tool going here).
-
-The only values that should be in the "action" field are:
-get_current_time_in_timezone: A tool that fetches the current local time in a specified timezone., args: {"timezone": {"type": "string"}}
-calculator_tool: A tool that multiply 2 integers., args: {"a": {"type": "int"}, "b": {"type": "int"}}
-web_search_tool: Performs a duckduckgo web search based on your query (think a Google search) then returns the top search results., args: {"max_results": {type": "int"}, "query": {type": "str"}}, output: {}
-image_generation_tool: This tool creates an image according to a prompt, which is a text description. args: {}
-
-example use :
-```
-{{
-  "action": "get_current_time_in_timezone",
-  "action_input": {"timezone": "America/New_York"}
-}}
-
-ALWAYS use the following format:
-
-Question: the input question you must answer
-Thought: you should always think about one action to take. Only one action at a time in this format:
-Action:
-```
-$JSON_BLOB
-```
-Observation: the result of the action. This Observation is unique, complete, and the source of truth.
-... (this Thought/Action/Observation can repeat N times, you should take several steps when needed. The $JSON_BLOB must be formatted as markdown and only use a SINGLE action at a time.)
-
-You must always end your output with the following format:
-
-Thought: I now know the final answer
-Final Answer: the final answer to the original input question
-
-Now begin! Reminder to ALWAYS use the exact characters `Final Answer:` when you provide a definitive answer. 
-"""
-
 
 
 # Import tool from Hub
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
-web_search_tool = DuckDuckGoSearchTool()
+search_tool = DuckDuckGoSearchTool()
 
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)