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| 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 ! | |
| def calculate_investment_return( | |
| initial_capital: float, | |
| final_capital: float, | |
| years: float | |
| ) -> str: | |
| """Calculates the total return and annualized return of an investment. | |
| Args: | |
| initial_capital: The initial amount of money invested. | |
| final_capital: The final value of the investment. | |
| years: The number of years the investment was held. | |
| """ | |
| if initial_capital <= 0: | |
| return "Error: initial_capital must be greater than zero." | |
| if final_capital < 0: | |
| return "Error: final_capital cannot be negative." | |
| if years <= 0: | |
| return "Error: years must be greater than zero." | |
| total_return = (final_capital / initial_capital) - 1 | |
| annualized_return = (final_capital / initial_capital) ** (1 / years) - 1 | |
| return ( | |
| f"Total return: {total_return:.2%}\n" | |
| f"Annualized return (CAGR): {annualized_return:.2%}" | |
| ) | |
| def calculate_sharpe_ratio( | |
| mean_return: float, | |
| risk_free_rate: float, | |
| volatility: float | |
| ) -> str: | |
| """Calculates the annualized Sharpe ratio of an investment strategy. | |
| Args: | |
| mean_return: The annualized mean return of the strategy as a decimal. | |
| risk_free_rate: The annualized risk-free rate as a decimal. | |
| volatility: The annualized standard deviation of returns as a decimal. | |
| """ | |
| if volatility <= 0: | |
| return "Error: volatility must be greater than zero." | |
| sharpe_ratio = (mean_return - risk_free_rate) / volatility | |
| return f"Sharpe ratio: {sharpe_ratio:.3f}" | |
| 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=[final_answer,calculate_investment_return,calculate_sharpe_ratio], ## 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() |