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| from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool | |
| import yfinance as yf | |
| import matplotlib.pyplot as plt | |
| 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 get_stock_performance(ticker: str) -> str: | |
| """Fetches 3-month price history for a given stock ticker, | |
| generates a line chart of closing prices, and summarizes performance. | |
| Args: | |
| ticker: Stock symbol as listed on Yahoo Finance (e.g., "AAPL"). | |
| Returns: | |
| A summary string stating start/end dates, prices, | |
| percent change, and the filepath of the saved chart PNG. | |
| """ | |
| # 1. Download data | |
| stock = yf.Ticker(ticker) | |
| hist = stock.history(period="3mo") # last 3 months | |
| if hist.empty: | |
| return f"Error: no data found for ticker '{ticker}'." | |
| # 2. Compute performance | |
| start_date = hist.index[0].date() | |
| end_date = hist.index[-1].date() | |
| start_price = hist["Close"].iloc[0] | |
| end_price = hist["Close"].iloc[-1] | |
| pct_change = (end_price - start_price) / start_price * 100 | |
| # 3. Plot | |
| plt.figure(figsize=(8, 4)) | |
| hist["Close"].plot(title=f"{ticker} — Last 3 Months", ylabel="Closing Price") | |
| filename = f"{ticker}_3m_performance.png" | |
| plt.tight_layout() | |
| plt.savefig(filename) | |
| plt.close() | |
| # 4. Return summary | |
| return ( | |
| f"{ticker} from {start_date} to {end_date}: " | |
| f"started at ${start_price:.2f}, ended at ${end_price:.2f} " | |
| f"({pct_change:+.2f}% change). " | |
| f"Chart saved to `{os.path.abspath(filename)}`." | |
| ) | |
| 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 ?" | |
| 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], ## 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() |