from smolagents import CodeAgent, DuckDuckGoSearchTool, InferenceClientModel, 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! import requests from smolagents import tool @tool def city_team_weather(city: str, team: str) -> str: """ Provides a fun weather-and-sports mashup based on the city and team name. Args: city: The city to get the weather for (e.g., "Boston") team: The sports team name (e.g., "Red Sox") """ try: # Use Open-Meteo API (no API key required for basic access) url = f"https://api.open-meteo.com/v1/forecast?latitude=0&longitude=0¤t_weather=true" geo_url = f"https://geocoding-api.open-meteo.com/v1/search?name={city}&count=1" geo_resp = requests.get(geo_url).json() if not geo_resp.get("results"): return f"Could not find weather data for {city}." lat = geo_resp["results"][0]["latitude"] lon = geo_resp["results"][0]["longitude"] weather_url = f"https://api.open-meteo.com/v1/forecast?latitude={lat}&longitude={lon}¤t_weather=true" weather_resp = requests.get(weather_url).json() weather = weather_resp["current_weather"]["temperature"] return ( f"In {city}, it's currently {weather}°C. " f"The {team} are heating up too—maybe it's the weather, maybe it's just game day vibes!" ) except Exception as e: return f"Error retrieving data: {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() model = InferenceClientModel( max_tokens=2096, temperature=0.5, model_id='Qwen/Qwen2.5-Coder-32B-Instruct', custom_role_conversions=None, ) # Import tool from Hub image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) # Load system prompt from prompt.yaml file 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 # Pass system prompt to CodeAgent ) GradioUI(agent).launch()