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 # --- Tools --- @tool def my_custom_tool(arg1: str, arg2: int) -> str: """A tool that changes your height from metric to imperial Args: arg1: your name arg2: your height in metric system (centimeters) """ afeet = 30.48 # cm per foot ainch = 2.54 # cm per inch # keep your logic, just truncate feet (no decimals) the_feet = int(arg2 // afeet) # whole feet remainder = arg2 - the_feet * afeet # leftover cm the_inch = remainder / ainch # inches from leftover return f"Height of {arg1} in imperial units: {the_feet} ft {the_inch:.2f} in" @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: tz = pytz.timezone(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 tool required by the template --- final_answer = FinalAnswerTool() # --- Model (use this on HF Spaces; it reads HF_TOKEN automatically) --- model = HfApiModel( model_id="Qwen/Qwen2.5-Coder-32B-Instruct", max_tokens=2096, temperature=0.5, custom_role_conversions=None, ) # Import tool from Hub (image generation) and set up web search image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) # Load system prompts with open("prompts.yaml", "r") as stream: prompt_templates = yaml.safe_load(stream) # --- Agent: register ALL the tools here --- agent = CodeAgent( model=model, tools=[ final_answer, # do not remove my_custom_tool, # your converter get_current_time_in_timezone, image_generation_tool, # HF Hub tool ], max_steps=6, verbosity_level=1, grammar=None, planning_interval=None, name=None, description=None, prompt_templates=prompt_templates, ) GradioUI(agent).launch()