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 # 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 unit_converter(value: float, from_unit: str, to_unit: str) -> str: """通用单位转换工具(支持长度、重量、温度) Args: value: 要转换的数值 from_unit: 原单位(支持:m, km, kg, g, °C, °F等) to_unit: 目标单位 """ try: # 长度转换 if {from_unit, to_unit} <= {"m", "km"}: factor = 0.001 if from_unit == "m" else 1000 return f"{value}{from_unit} = {value*factor}{to_unit}" # 重量转换 if {from_unit, to_unit} <= {"kg", "g"}: factor = 1000 if from_unit == "kg" else 0.001 return f"{value}{from_unit} = {value*factor}{to_unit}" # 温度转换 if from_unit == "°C" and to_unit == "°F": return f"{value}°C = {value*9/5+32}°F" if from_unit == "°F" and to_unit == "°C": return f"{value}°F = {(value-32)*5/9}°C" return "暂不支持该单位转换" except Exception as e: return f"单位转换失败:{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], ## 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()