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 convert_usd_to_eur(amount: float) -> str: """A tool to convert USD to EUR at a fixed exchange rate. Args: amount: Amount in USD. """ exchange_rate = 0.93 # You could make this dynamic with an API euros = amount * exchange_rate return f"{amount} USD is approximately {euros:.2f} EUR." @tool def get_fun_fact(topic: str) -> str: """A tool that returns a fun fact about a given topic. Args: topic: A topic like 'space', 'octopus', or 'time'. """ facts = { "space": "There are more stars in the universe than grains of sand on Earth.", "octopus": "Octopuses have three hearts and blue blood.", "time": "Time passes faster at the top of a mountain than at sea level." } return facts.get(topic.lower(), f"I don't have a fun fact about {topic} — yet.") @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 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=[get_current_time_in_timezone, get_fun_fact, convert_usd_to_eur, 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()