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| # Import necessary libraries | |
| import random | |
| from smolagents import CodeAgent, InferenceClientModel | |
| # Import our custom tools from their modules | |
| from tools import DuckDuckGoSearchTool, WeatherInfoTool, HubStatsTool | |
| from retriever import load_guest_dataset | |
| from dotenv import load_dotenv | |
| import os | |
| load_dotenv() | |
| # Load the Hugging Face API key from environment variables | |
| api_key = os.getenv("HUGGINGFACE_API_KEY") | |
| # Initialize the Hugging Face model | |
| model = InferenceClientModel(token=api_key) | |
| # Initialize the web search tool | |
| search_tool = DuckDuckGoSearchTool() | |
| # Initialize the weather tool | |
| weather_info_tool = WeatherInfoTool() | |
| # Initialize the Hub stats tool | |
| hub_stats_tool = HubStatsTool() | |
| # Load the guest dataset and initialize the guest info tool | |
| guest_info_tool = load_guest_dataset() | |
| # Create Alfred with all the tools | |
| alfred = CodeAgent( | |
| tools=[guest_info_tool, weather_info_tool, hub_stats_tool, search_tool], | |
| model=model, | |
| add_base_tools=True, # Add any additional base tools | |
| planning_interval=3 # Enable planning every 3 steps | |
| ) | |
| query = "I need to speak with Dr. Nikola Tesla about recent advancements in wireless energy. Can you help me prepare for this conversation?" | |
| response = alfred.run(query) | |
| print("🎩 Alfred's Response:") | |
| print(response) |