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 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 arguments
        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)}"


@tool
def get_eur_exchange_rate(currency_code: str) -> str:
    """A tool that retrieves the current exchange rate from EUR to a given currency
    
    Args:
        currency_code: The 3-letter currency code in lowercase (e.g., "usd", "gbp", "jpy")
    """
    
    try:
        # Fetch the EUR exchange rates from the API
        api_url = "https://cdn.jsdelivr.net/npm/@fawazahmed0/currency-api@latest/v1/currencies/eur.json"
        response = requests.get(api_url, timeout=10)
        response.raise_for_status()
        
        data = response.json()
        
        # Extract date and exchange rates
        date = data.get("date", "Unknown date")
        exchange_rates = data.get("eur", {})
        
        # Get the specific exchange rate
        if currency_code in exchange_rates:
            rate = exchange_rates[currency_code]
            return f"1 EUR = {rate} {currency_code.upper()} (as of {date})"
        else:
            return f"Currency code '{currency_code}' not found in the exchange rate data. Please check the currency code format."
    
    except requests.RequestException as e:
        return f"Error fetching exchange rate data: {str(e)}"
    except Exception as e:
        return f"Error: {str(e)}"

@tool  
def get_simple_joke() -> str:
    """A tool that fetches a random joke from JokeAPI with minimal filtering"""
    
    try:
        # Simple request to JokeAPI
        api_url = "https://v2.jokeapi.dev/joke/any"
        
        response = requests.get(api_url, timeout=10)
        response.raise_for_status()
        
        joke_data = response.json()
        
        if joke_data.get("error", False):
            return f"Error: {joke_data.get('message', 'Could not get joke')}"
        
        if joke_data.get("type") == "single":
            return f"Here's a joke:\n\n{joke_data.get('joke', '')}"
        elif joke_data.get("type") == "twopart":
            setup = joke_data.get("setup", "")
            delivery = joke_data.get("delivery", "")
            return f"Here's a joke:\n\n{setup}\n{delivery}"
        
        return "Could not parse joke from API response"
        
    except Exception as e:
        return f"Error: {str(e)}"

# 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)

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, my_custom_tool, get_current_time_in_timezone, get_eur_exchange_rate, get_simple_joke,image_generation_tool], ## 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()