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 currency_converter(amount: float, from_currency: str, to_currency: str) -> str:
    """Converts an amount from one currency to another using real-time exchange rates.
    Args:
        amount: The amount of money to convert.
        from_currency: The currency code to convert from (e.g., 'USD').
        to_currency: The currency code to convert to (e.g., 'EUR').
    Returns:
        A string with the converted amount and exchange rate.
    """
    api_url = f"https://api.frankfurter.app/latest?from={from_currency.upper()}&to={to_currency.upper()}"
    try:
        response = requests.get(api_url)
        data = response.json()
        if 'rates' in data and to_currency.upper() in data['rates']:
            rate = data['rates'][to_currency.upper()]
            converted_amount = amount * rate
            return f"{amount} {from_currency.upper()} = {converted_amount:.2f} {to_currency.upper()} (Rate: {rate})"
        else:
            return "Invalid currency code."
    except Exception as e:
        return f"Error fetching exchange rate: {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:
        # 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)}"


final_answer = FinalAnswerTool()

model = HfApiModel(
    max_tokens=1024,
    temperature=0.5,
    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
    custom_role_conversions=None,
)


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

# Load system prompt from prompt.yaml file
with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer, currency_converter], # 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 # Pass system prompt to CodeAgent
)


GradioUI(agent).launch()