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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

# A useful and creative tool: Real-time Currency Converter
@tool
def currency_converter(amount: float, from_currency: str, to_currency: str) -> str:
    """A tool that converts an amount from one currency to another using real-time exchange rates.
    
    Args:
        amount: The amount to convert.
        from_currency: The currency code of the amount (e.g., 'USD').
        to_currency: The target currency code (e.g., 'EUR').
    """
    try:
        # API endpoint
        url = f"https://api.exchangerate-api.com/v4/latest/{from_currency.upper()}"
        response = requests.get(url)
        data = response.json()
        
        if "rates" not in data:
            return "Error: Could not fetch exchange rates. Please check the currency codes."

        # Get exchange rate and calculate
        rate = data["rates"].get(to_currency.upper())
        if rate is None:
            return f"Error: Conversion rate for {to_currency} not found."
        
        converted_amount = round(amount * rate, 2)
        return f"{amount} {from_currency.upper()} is approximately {converted_amount} {to_currency.upper()}."
    
    except Exception as e:
        return f"Error retrieving 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()

# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 

model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' , # it is possible that this model may be overloaded
    custom_role_conversions=None,
)

# 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=[final_answer, currency_converter],  # Added the new currency converter tool
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

GradioUI(agent).launch()