import datetime import requests import pytz import yaml from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool from tools.final_answer import FinalAnswerTool from Gradio_UI import GradioUI # Custom Tools @tool def my_custom_tool(arg1: str, arg2: int) -> str: """ A tool that calculates the time in seconds. Args: arg1: A string representing a time duration type (e.g., 'minutes', 'hours', 'days'). arg2: An integer representing the quantity of the given duration type. Returns: A string indicating the equivalent time in seconds. """ time_units = { "seconds": 1, "minutes": 60, "hours": 3600, "days": 86400 } try: unit = arg1.lower() if unit in time_units: total_seconds = arg2 * time_units[unit] return f"{arg2} {arg1} is equal to {total_seconds} seconds." else: return "Invalid time unit. Please use 'seconds', 'minutes', 'hours', or 'days'." except Exception as e: return f"Error: {str(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'). Returns: A string with the local time in the given timezone. """ 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)}" # Model Configuration final_answer = FinalAnswerTool() model = HfApiModel( max_tokens=2096, temperature=0.5, model_id="Qwen/Qwen2.5-Coder-32B-Instruct", # This model may be overloaded custom_role_conversions=None, ) # Import tool from Hugging Face 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()