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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, 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!
@tool
def my_custom_tool(arg1:str, arg2:int)-> str: # it's important to specify the return type
    # Keep this format for the tool description / args description but feel free to modify the tool
    """A tool that does nothing yet 
    Args:
        arg1: the first argument
        arg2: the second argument
    """
    return "What magic will you build ?"

@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)}"

'''
@tool
def multiply_numbers(a: int, b: int) -> int:
    """
    Multiply two integers.

    Args:
        a (int): The first number.
        b (int): The second number.

    Returns:
        int: The result of multiplying a and b.

    Raises:
        ValueError: If an unexpected error occurs during multiplication.

    Example:
    -------
    >>> multiply_numbers(3, 4)
    12
    """
    try:
        result = a * b
        return result
    except Exception as e:
        raise ValueError(f"An error occurred during multiplication: {e}")
'''

final_answer = FinalAnswerTool()

model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
custom_role_conversions=None,
)

image_search_tool = DuckDuckGoSearchTool()
# Import tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[image_search_tool, image_generation_tool, 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
)


GradioUI(agent).launch()