from smolagents import CodeAgent, DuckDuckGoSearchTool, load_tool, tool try: from smolagents import InferenceClientModel as ModelClass except ImportError: try: from smolagents import HfApiModel as ModelClass except ImportError: from smolagents import HfEngine as ModelClass import datetime import pytz import yaml from tools.final_answer import FinalAnswerTool from Gradio_UI import GradioUI # Weather search tool using DuckDuckGo @tool def get_weather_info(city: str) -> str: """Searches for current weather information for a given city using DuckDuckGo. Args: city: Name of the city to get weather information for (e.g., 'Warsaw', 'New York') Returns: A string containing weather information for the specified city """ try: from duckduckgo_search import DDGS with DDGS() as ddgs: results = list(ddgs.text(f"{city} current weather temperature", max_results=3)) if results: weather_info = f"Weather information for {city}:\n" for i, result in enumerate(results): title = result.get('title', '') body = result.get('body', '') weather_info += f"\n{i+1}. {title}\n {body}\n" return weather_info else: return f"No weather information found for {city}" except ImportError: # Fallback do DuckDuckGoSearchTool search_tool = DuckDuckGoSearchTool() result = search_tool(f"{city} weather") return f"Weather in {city}: {result}" if result else f"No weather data for {city}" except Exception as e: return f"Error: {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: tz = pytz.timezone(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)}" # Initialize tools final_answer = FinalAnswerTool() # Initialize model model = ModelClass( model_id='Qwen/Qwen2.5-Coder-32B-Instruct', ) # Import tool from Hub image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) # Handle prompt templates try: # Try to load custom prompts with open("prompts.yaml", 'r') as stream: prompt_templates = yaml.safe_load(stream) # Ensure all required keys are present if hasattr(CodeAgent, 'DEFAULT_PROMPTS'): for key in CodeAgent.DEFAULT_PROMPTS: if key not in prompt_templates: prompt_templates[key] = CodeAgent.DEFAULT_PROMPTS[key] # Create agent with custom prompts agent = CodeAgent( model=model, tools=[final_answer, get_weather_info, get_current_time_in_timezone, image_generation_tool], max_steps=6, verbosity_level=1, prompt_templates=prompt_templates ) except Exception as e: print(f"Error loading custom prompts: {e}") print("Using default prompts instead") # Create agent without custom prompts agent = CodeAgent( model=model, tools=[get_weather_info, get_current_time_in_timezone, image_generation_tool, final_answer], max_steps=6, verbosity_level=1 ) # Launch Gradio UI GradioUI(agent).launch()