app.py

from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
import datetime
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
import random

# Enhanced custom tool that performs a creative transformation (magic)
@tool
def my_custom_tool(arg1: str, arg2: int) -> str:
    """
    A creatively enhanced tool that transforms a given message based on a magic factor.
    
    Args:
        arg1: The input message to transform.
        arg2: The magic factor (an integer) that determines the level of transformation.
        
    Returns:
        A magically transformed message.
    """
    # Reverse the input string as a simple transformation
    reversed_message = arg1[::-1]
    
    # Define a few inspirational magic phrases
    magic_phrases = [
        "abracadabra", 
        "hocus pocus", 
        "alakazam", 
        "voila", 
        "presto chango"
    ]
    # Select a phrase based on the magic factor (cycling through the phrases)
    phrase = magic_phrases[arg2 % len(magic_phrases)]
    
    # Optionally, add a random flourish
    flourish = random.choice(["✨", "🌟", "🔮", "🎩"])
    
    return f"{flourish} {reversed_message} {phrase}! Your magic factor is {arg2}."

# Tool to fetch the current local time in a specified timezone
@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').
    
    Returns:
        A string with the current local time or an error message if unsuccessful.
    """
    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)}"

# Tool that performs a magic trick by predicting a random number
@tool
def perform_magic() -> str:
    """
    A tool that performs a magic trick by predicting a random number.
    
    Returns:
        A string with the magical prediction.
    """
    # Simulate inviting the user to think of a number
    print("Please think of a number between 1 and 10...")
    predicted_number = random.randint(1, 10)
    magic_message = f"✨ Abracadabra! Your magical prediction is: {predicted_number} ✨"
    print(magic_message)
    return magic_message

# Initialize the final_answer tool and HfApiModel
final_answer = FinalAnswerTool()
model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud',
    custom_role_conversions=None,
)

# Import an image generation tool from the Hub (example usage; not added to agent's tools)
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

# Load prompt templates from a YAML file
with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)

# Instantiate the CodeAgent with the required tools. The final_answer tool must always be included.
agent = CodeAgent(
    model=model,
    tools=[final_answer, my_custom_tool, get_current_time_in_timezone, perform_magic],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

# Launch the Gradio UI to interact with the agent.
GradioUI(agent).launch()