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 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 ?" @tool def weather_forecast(location: str, date: str) -> str: """A tool to get the weather forecast for a specific location and date. Args: location: The location for which to get the weather forecast. date: The date for the weather forecast in YYYY-MM-DD format. """ # Example implementation using a weather API response = requests.get(f"https://api.weatherapi.com/v1/forecast.json?key=YOUR_API_KEY&q={location}&dt={date}") data = response.json() forecast = data['forecast']['forecastday'][0]['day'] return f"Weather forecast for {location} on {date}: {forecast['condition']['text']}, Temperature: {forecast['avgtemp_c']}°C" @tool def time_zone_converter(time: str, from_tz: str, to_tz: str) -> str: """A tool to convert time from one time zone to another. Args: time: The time to convert in HH:MM format. from_tz: The time zone to convert from. to_tz: The time zone to convert to. """ from_zone = pytz.timezone(from_tz) to_zone = pytz.timezone(to_tz) from_time = datetime.datetime.strptime(time, '%H:%M') from_time = from_zone.localize(from_time) to_time = from_time.astimezone(to_zone) return to_time.strftime('%H:%M %Z') @tool def currency_converter(amount: float, from_currency: str, to_currency: str) -> str: """A tool to convert currency from one type to another. Args: amount: The amount of money to convert. from_currency: The currency code to convert from. to_currency: The currency code to convert to. """ response = requests.get(f"https://api.exchangerate-api.com/v4/latest/{from_currency}") data = response.json() rate = data['rates'][to_currency] converted_amount = amount * rate return f"{amount} {from_currency} is equal to {converted_amount:.2f} {to_currency}" @tool def task_reminder(task: str, due_date: str) -> str: """A tool to set a reminder for a task. Args: task: The task to be reminded of. due_date: The due date for the task in YYYY-MM-DD format. """ return f"Reminder set for task: '{task}' due on {due_date}" @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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', #'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, get_current_time_in_timezone, task_reminder, currency_converter, time_zone_converter, weather_forecast ], ## 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()