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 get_weather(location: str) -> str: """Get current weather information for a specified location. Args: location: City name and optionally country code (e.g., 'London' or 'London,UK') """ try: # Replace with your actual API key API_KEY = "de1f560f2d4bea4e02dcdbe2e6f197a6" base_url = "http://api.openweathermap.org/data/2.5/weather" params = { 'q': location, 'appid': API_KEY, 'units': 'metric' # for Celsius, use 'imperial' for Fahrenheit } response = requests.get(base_url, params=params) data = response.json() if response.status_code == 200: weather = data['weather'][0]['description'] temp = data['main']['temp'] feels_like = data['main']['feels_like'] humidity = data['main']['humidity'] wind_speed = data['wind']['speed'] return (f"Weather in {location}: {weather}. " f"Temperature: {temp}°C (feels like {feels_like}°C), " f"Humidity: {humidity}%, Wind: {wind_speed} m/s") else: return f"Error getting weather: {data.get('message', 'Unknown error')}" except Exception as e: return f"Error fetching weather data: {str(e)}" @tool def get_weather_forecast(location: str, days: int = 3) -> str: """Get weather forecast for a specified location for the next few days. Args: location: City name and optionally country code (e.g., 'London' or 'London,UK') days: Number of days for forecast (1-5, default 3) """ try: # Validate days input days = max(1, min(5, int(days))) API_KEY = "de1f560f2d4bea4e02dcdbe2e6f197a6" base_url = "http://api.openweathermap.org/data/2.5/forecast" params = { 'q': location, 'appid': API_KEY, 'units': 'metric', 'cnt': days * 8 # 8 forecasts per day (every 3 hours) } response = requests.get(base_url, params=params) data = response.json() if response.status_code == 200: forecast = [] current_date = "" for item in data['list']: date = item['dt_txt'].split()[0] if date != current_date: if current_date: forecast.append(day_forecast) current_date = date day_forecast = { 'date': date, 'temps': [], 'weathers': [] } day_forecast['temps'].append(item['main']['temp']) day_forecast['weathers'].append(item['weather'][0]['description']) # Add the last day if current_date: forecast.append(day_forecast) # Format the response result = [f"Weather forecast for {location}:"] for day in forecast[:days]: # Limit to requested days avg_temp = sum(day['temps']) / len(day['temps']) main_weather = max(set(day['weathers']), key=day['weathers'].count) result.append( f"{day['date']}: {main_weather}, average temp {avg_temp:.1f}°C " f"(min {min(day['temps']):.1f}°C, max {max(day['temps']):.1f}°C)" ) return "\n".join(result) else: return f"Error getting forecast: {data.get('message', 'Unknown error')}" except Exception as e: return f"Error fetching weather forecast: {str(e)}" @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=[final_answer, get_current_time_in_timezone, get_weather, get_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()