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 get_quadratic_equation_solutions(a: float, b: float, c: float)-> str: #Keep this format for the description / args / args description but feel free to modify the tool """A tool that provide real solutions for arbitrary quadratic equation a * x ** 2 + b * x + c = 0. Returns explicit information about number of solutions and themselves. For zero or infinite number of solutions the function returns None. Args: a: A real-valued coefficient, quadratic term b: A real-valued coefficient, linear term c: A real-valued coefficient, free term """ if not a and not b: return elif not a: return -c / b d = a ** 2 - 4 * a * c if d < 0.0: return elif not d: return f"Single solution: {-b / 2 / a}" return f"Two solutions: {(-b - d ** 0.5)/ 2 / a}, {(-b + d ** 0.5)/ 2 / a}" @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_id='Qwen/Qwen2.5-Coder-32B-Instruct' model = HfApiModel( max_tokens=2096, temperature=0.5, model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', custom_role_conversions=None, ) # Import tool from Hub image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) search_tool = DuckDuckGoSearchTool() with open("prompts.yaml", 'r') as stream: prompt_templates = yaml.safe_load(stream) agent = CodeAgent( model=model, tools=[ get_quadratic_equation_solutions, get_current_time_in_timezone, search_tool, 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()