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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)