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 historical_event_explorer(query :str, year: int = None)-> 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 to explore historical events based on a year or keyword. Args: query: A keyword to search for historical events (e.g., "war", "invetion"). year: An optional year to filter events by a specific time period. Returns: A string containing relevant historical events or a message if no results are found. """ # Example dataset of historical events historical_data = { 1492: "Christopher Columbus reached the Americas.", 1776: "The United States Declaration of Independence was adopted.", 1865: "The American Civil War ended.", 1923: "The Republic of Turkey was established.", 1969: "Apollo 11 landed on the Moon.", "war": "Notable wars include WWI (1914-1918) and WWII (1939-1945).", "invention": "Key inventions include the printing press (1440).", } # Check if the query mathces a year of keyword if year is not None and year in historical_data: return f"In {year}, {historical_data[year]}" elif query in historical_data: return historical_data[query] else: return "No historical events found for the given query." @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)}" final_answer = FinalAnswerTool() # If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder: # model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' model = HfApiModel( max_tokens=2096, temperature=0.5, model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# 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()