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 num_of_letters_in_a_word(word : str) -> int: """ A tool that takes in a word as an input and returns the number of letters it has Args: word: the input word """ return len(word) @tool def calculate_between_two_numbers(num1 : float, num2 : float, operation : str) -> float: """ A tool that takes in two different number and a specified operation as its inputs and then returns a result as a number operation should be one of the following: (+, -, /, *) Args: num1: first number num2: second number operation: the operation that will be performed between these two numbers """ if(operation == "+"): return num1 + num2 elif(operation == "-"): return num1 - num2 elif(operation == "/"): return num1 / num2 elif(operation == "*"): return num1 * num2 else: print("You either entered a wrong operation or something else went wrong") return -1.0 @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 model_id="allenai/Olmo-3-7B-Instruct:publicai", 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, num_of_letters_in_a_word, get_current_time_in_timezone, calculate_between_two_numbers], ## 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()