from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool from tools import visit_webpage, web_search import datetime import requests import pytz import yaml import math from tools.final_answer import FinalAnswerTool from Gradio_UI import GradioUI @tool def get_roots(a: float, b: float, c: float) -> tuple[float, float]: """Compute the real roots of a quadratic equation ax^2 + bx + c = 0. Args: a: Quadratic coefficient (must be non-zero). b: Linear coefficient. c: Constant term. Returns: A tuple (x1, x2) containing the two real roots. Raises: ValueError: If a == 0 or the discriminant is negative (no real roots). """ if a == 0: raise ValueError("Coefficient 'a' must be non-zero for a quadratic equation.") discriminant = b * b - 4 * a * c if discriminant < 0: raise ValueError( f"Discriminant is negative ({discriminant}); equation has no real roots." ) sqrt_disc = math.sqrt(discriminant) denom = 2 * a x1 = (-b + sqrt_disc) / denom x2 = (-b - sqrt_disc) / denom return (x1, x2) @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' # deepseek-ai/DeepSeek-R1-Distill-Qwen-32B model = HfApiModel( max_tokens=2046, temperature=0.5, model_id='deepseek-ai/DeepSeek-R1-Distill-Qwen-32B', 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_roots], ## 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()