app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
import os
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI

from forex_python.converter import CurrencyRates
from smolagents import LiteLLMModel, CodeAgent

@tool
def convert_currency(curr1:str, curr2:str, amount:int) -> str:
    """ A tool that converts one currency into another.
    Args:
        curr1: Currency 1, the initial currency that needs to be coinverted into another one (e.g. EUR).
        curr2: Currency 2, the currency the first one needs to be converted into (e.g. RUB).
        amount: The ammount of currency 1 that needs to be converted.
    """
    try:
        cr = CurrencyRates()
        converted_amount = cr.convert(curr1, curr2, amount)
        return f"{amount} {curr1} is {converted_amount} {curr2}"
    except Exception as e:
        return f"Error fetching the exchange rate for {curr1} to {curr2}: {str(e)}"

# 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 import to specify the return type
    #Keep this format for the description / args / 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)}"


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 = LiteLLMModel(model_id="gemini/gemini-2.0-flash-lite", api_key=os.getenv(key="GEMINI_API_KEY"))

# 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, get_current_time_in_timezone, 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()