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 search_tool = DuckDuckGoSearchTool() # Initialize the DuckDuckGo search tool search_tool = DuckDuckGoSearchTool() # Initialize the DuckDuckGo search tool (only one instance is needed) search_tool = DuckDuckGoSearchTool() @tool def get_top_places(city: str, category: str = "places", n: int = 5) -> list: """ Get the top N places for a given category in a specified city. Args: city (str): The name of the city to search for. category (str): The category to search (e.g., "places", "food", "museum"). Default is "places". n (int): The number of results to return. Default is 5, maximum 100. Returns: list: A list of strings, each containing the title and URL for a result. Raises: ValueError: If the category is not one of "places", "food", or "museum". Example: >>> get_top_places("Paris", "food", 5) ['Le Meurice - https://example.com', "L'Ambroisie - https://example.com"] """ valid_categories = ["places", "food", "museum"] if category not in valid_categories: raise ValueError(f"Invalid category. Choose from: {', '.join(valid_categories)}") query = f"top {n} {category} in {city}" results = search_tool.search(query, n) return [f"{result['title']} - {result['url']}" for result in results] @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,get_top_places,get_current_time_in_timezone], ## 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()