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 bs4 import BeautifulSoup
from tools.web_search import DuckDuckGoSearchTool 

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 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 currency_converter(amount: float, from_currency: str, to_currency: str) -> str:
    """Конвертирует валюту используя актуальные курсы Нацбанка Казахстана
    Args:
        amount: сумма для конвертации
        from_currency: из какой валюты (USD, KZT, EUR, RUB)
        to_currency: в какую валюту (USD, KZT, EUR, RUB)
    """
    try:
        url = "https://nationalbank.kz/ru/exchangerates/ezhednevnye-oficialnye-rynochnye-kursy-valyut"
        resp = requests.get(url, timeout=10)
        resp.raise_for_status()
        
        soup = BeautifulSoup(resp.text, "html.parser")
        table = soup.find("table")
        
        if not table:
            return "Ошибка: таблица с курсами не найдена"
        
        # Собираем курсы
        rates = {}
        for row in table.find_all("tr")[1:]:
            cols = [c.text.strip() for c in row.find_all(["td", "th"])]
            if len(cols) >= 4:
                # Ищем USD, EUR, RUB
                if "USD / KZT" in cols:
                    rates["USD"] = float(cols[3].replace(",", "."))
                elif "EUR / KZT" in cols:
                    rates["EUR"] = float(cols[3].replace(",", "."))
                elif "RUB / KZT" in cols:
                    rates["RUB"] = float(cols[3].replace(",", "."))
        
        rates["KZT"] = 1.0  # тенге к тенге
        
        # Конвертация
        if from_currency not in rates:
            return f"Валюта {from_currency} не поддерживается"
        if to_currency not in rates:
            return f"Валюта {to_currency} не поддерживается"
        
        # Переводим всё через KZT
        amount_in_kzt = amount * rates[from_currency]
        result = amount_in_kzt / rates[to_currency]
        
        return f"{amount} {from_currency} = {result:.2f} {to_currency} (курс на сегодня)"
        
    except Exception as e:
        return f"Ошибка конвертации: {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)
web_search = DuckDuckGoSearchTool(max_results=10)



with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer,currency_converter,image_generation_tool,web_search], ## 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()