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 @tool def my_custom_tool(arg1: str) -> str: """ A tool that uses the provided argument as a search query and returns the search results along with the current UTC time, all formatted in YAML. Args: arg1: The search query string. """ # Initialize the DuckDuckGo search tool and perform the search using arg1. search_tool = DuckDuckGoSearchTool() # Assuming the search tool has a method 'search' that returns a list of results. search_results = search_tool.search(arg1) # Get the current time in UTC with timezone information. now_utc = datetime.datetime.now(pytz.utc) formatted_time = now_utc.strftime("%Y-%m-%d %H:%M:%S %Z") # Build a response dictionary with the search query, current time, and search results. response = { "search_query": arg1, "current_time": formatted_time, "search_results": search_results } # Convert the response dictionary to a YAML-formatted string. yaml_response = yaml.dump(response, default_flow_style=False) # Optionally, pass the result to a final answer tool or UI component if desired. # For instance, FinalAnswerTool could be used to format the final output. # final_answer = FinalAnswerTool(yaml_response) # return final_answer return yaml_response @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='SmallDoge/Doge-160M-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_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()