from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml import random from tools.final_answer import FinalAnswerTool from Gradio_UI import GradioUI verbose = True if verbose: printf("Running app.py now\n") # Below is an example of a tool that does nothing. Amaze us with your creativity ! @tool 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 ?" ## Copied from https://huggingface.co/spaces/iamnamas/nse_stockprice_agent @tool def nse_stock_price_tool(stock_ticker:str)-> str: """A tool that is used to retrieve the latest closing price of a stock based on the stock ticker from the Indian Stock Exchange (NSE). example: 'RELIANCE.NS' Args: stock_ticker: The stock ticker/symbol for the stock listed in NSE. The exact string input needs to be provided to the function. Returns: result_string: A string containing the stock_ticker along with the amount in Rupees. example: "RELIANCE NS: 1237.22 Rupees." """ try: import math import yfinance as yf stock_symbol = stock_ticker data = yf.download(tickers=stock_symbol, period='1d', interval='1m') if len(data): latest_data = data.tail(1) latest_price = latest_data['Close'].values[0] return (f"{stock_symbol}: {round(latest_price, 2)} Rupees.") else: return "INVALID TICKER/STOCK" except Exception as e: traceback.print_exc() return "INVALID REQUEST" # Writing my first custom tool @tool def toss_a_die(k: int) -> int: """A tool to toss a k-sided die / dice and return the value showing on that die / dice. Args: k: An integer specifying the number of sides on the die. If not specified, a good default would be to assume k=6 sides. """ if k==None: k=6 try: value = random.randint(1, k) return value except Exception as e: return f"How many sides does the dice have?" @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 verbose: printf("Defining MODEL_IDS now\n") MODEL_IDS = [ 'https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud/', 'https://jc26mwg228mkj8dw.us-east-1.aws.endpoints.huggingface.cloud/', 'meta-llama/Llama-3.2-1B-Instruct', 'Qwen/Qwen2.5-Coder-32B-Instruct', 'Qwen/Qwen2.5-Coder-1.5B-Instruct' # Add here wherever model is working for you ] def is_model_overloaded(model_url): """Verify if the model is overloaded doing a test call.""" try: response = requests.post(model_url, json={"inputs": "Test"}) if response.status_code == 503: # 503 Service Unavailable = Overloaded return True return False except requests.RequestException: return True # if there are an error is overloaded def get_available_model(): """Select the first model available from the list.""" for model_url in MODEL_IDS: print("trying",model_url,"\n") if not is_model_overloaded(model_url): return model_url return MODEL_IDS[0] # if all are failing, use the first model by dfault if verbose: printf("Checking available models now\n") selected_model_id = get_available_model() model = HfApiModel( max_tokens=1048, temperature=0.5, #model_id='meta-llama/Llama-3.2-1B-Instruct', #model_id='Qwen/Qwen2.5-Coder-32B-Instruct', #model_id = 'Qwen/Qwen2.5-Coder-1.5B-Instruct', model_id = selected_model_id, # model available selected from the list automatically custom_role_conversions=None, ) # Import tool from Hub image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) ## https://huggingface.co/spaces/agents-course/text-to-image with open("prompts.yaml", 'r') as stream: prompt_templates = yaml.safe_load(stream) agent = CodeAgent( model=model, tools=[final_answer, get_current_time_in_timezone, image_generation_tool, toss_a_die, nse_stock_price_tool], ## add your tools here (don't remove final answer) max_steps=3, verbosity_level=1, grammar=None, planning_interval=None, name=None, description=None, prompt_templates=prompt_templates ) GradioUI(agent).launch()