from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool from Gradio_UI import GradioUI # Below is an example of a tool that does nothing. Amaze us with your creativity ! @tool def my_cutom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type #Keep this format for the description / args / args description but feel free to modify the tool """A tool that combines the arguments and performs a simple calculation. Args: arg1: A string. arg2: An integer. """ try: result = int(arg1) * arg2 # Attempt conversion and multiplication return f"The result of {arg1} * {arg2} is: {result}" except ValueError: return "Error: arg1 must be convertible to an integer." except Exception as e: return f"An unexpected error occurred: {e}" @tool def get_current_time_in_timezone(timezone: str) -> str: """A tool that fetches the current local time in a specified timezone. Args: timezone: A string representing a valid timezone (e.g., 'America/New_York'). """ try: # Create timezone object tz = pytz.timezone(timezone) # Get current time in that timezone local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S") return f"The current local time in {timezone} is: {local_time}" except Exception as e: return f"Error fetching time for timezone '{timezone}': {str(e)}" @tool def fetch_webpage_content(url: str) -> str: """Fetches the content of a webpage. Args: url: The URL of the webpage to fetch. """ try: response = requests.get(url, timeout=10) # Added timeout for safety response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) return response.text except requests.exceptions.RequestException as e: return f"Error fetching URL '{url}': {e}" final_answer = FinalAnswerTool() model = HfApiModel( max_tokens=2096, temperature=0.5, model_id='meta-llama/Llama-3.2-1B',# it is possible that this model may be overloaded custom_role_conversions=None, ) # Import tool from Hub image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) with open("prompts.yaml", 'r') as stream: prompt_templates = yaml.safe_load(stream) agent = CodeAgent( model=model, tools=[final_answer], ## add your tools here (don't remove final answer) max_steps=6, verbosity_level=1, grammar=None, planning_interval=None, name=None, description=None, prompt_templates=prompt_templates ) GradioUI(agent).launch()