from smolagents import CodeAgent, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool from tools.web_search import DuckDuckGoSearchTool from Gradio_UI import GradioUI # Below is an example of a tool that does nothing. Amaze us with your creativity ! @tool def my_custom_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 does nothing yet Args: arg1: the first argument arg2: the second argument """ return "What magic will you build ?" @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 find_hotels(location: str, price_range: str) -> list: """Fetches the most suitable 10 hotels in a given location and price range. Args: location: A string representation of city or area where hotels should be searched. (e.g. 'America', 'Italy', 'Miami', 'Paris') price_range: A string representation of the preferred price range (e.g., 'budget', 'mid-range', 'luxury'). Returns: list: A list of dictionaries containing hotel titles, URLs, and snippets. """ try: query = f"best hotels in {location} in {price_range} range" with DuckDuckGoSearchTool as ddgs: results = ddgs.text(query, max_results=10) hotels = [{"title": r["title"], "url": r["href"], "snippet": r["body"]} for r in results] return hotels except Exception as e: return [{"error": f"Failed to fetch hotels: {str(e)}"}] final_answer = FinalAnswerTool() web_search = DuckDuckGoSearchTool() # 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, web_search], ## 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()