app.py

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 convert_currency(amount: float, from_currency: str, to_currency: str) -> str:
    """A tool that converts an amount from one currency to another.
    Args:
        amount: The amount to convert.
        from_currency: The source currency code (e.g., 'USD', 'EUR').
        to_currency: The target currency code (e.g., 'JPY', 'GBP').
    """
    try:
        # In a real implementation, you would use an API like exchangerate-api.com
        # For demonstration, we'll use fixed rates
        exchange_rates = {
            "USD": {"EUR": 0.85, "GBP": 0.74, "JPY": 110.23, "CAD": 1.25},
            "EUR": {"USD": 1.18, "GBP": 0.87, "JPY": 129.65, "CAD": 1.47},
            "GBP": {"USD": 1.35, "EUR": 1.15, "JPY": 148.91, "CAD": 1.69},
            "JPY": {"USD": 0.0091, "EUR": 0.0077, "GBP": 0.0067, "CAD": 0.0113},
            "CAD": {"USD": 0.80, "EUR": 0.68, "GBP": 0.59, "JPY": 88.18}
        }
        
        # Normalize currency codes
        from_currency = from_currency.upper()
        to_currency = to_currency.upper()
        
        # Check if both currencies are supported
        if from_currency not in exchange_rates or to_currency not in exchange_rates and to_currency not in exchange_rates.get(from_currency, {}):
            return f"Sorry, conversion between {from_currency} and {to_currency} is not supported."
        
        # Convert to USD first if direct conversion not available
        if to_currency not in exchange_rates.get(from_currency, {}):
            # Convert to USD
            if from_currency == "USD":
                usd_amount = amount
            else:
                usd_amount = amount / exchange_rates["USD"][from_currency]
            
            # Convert from USD to target currency
            if to_currency == "USD":
                converted_amount = usd_amount
            else:
                converted_amount = usd_amount * exchange_rates["USD"][to_currency]
        else:
            # Direct conversion
            converted_amount = amount * exchange_rates[from_currency][to_currency]
        
        return f"{amount} {from_currency} = {converted_amount:.2f} {to_currency}"
    except Exception as e:
        return f"Error converting currency: {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='Qwen/Qwen2.5-Coder-32B-Instruct',# 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,
           image_generation_tool,
           convert_currency], ## 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()