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

#


# This is a class dedicated for creating tools

class Tool:
    """
    A class representing a reusable piece of code (Tool).

    Attributes:
        name (str): Name of the tool.
        description (str): A textual description of what the tool does.
        func (callable): The function this tool wraps.
        arguments (list): A list of argument.
        outputs (str or list): The return type(s) of the wrapped function.
    """
    def __init__(self,
                name: str,
                description: str,
                func: callable,
                arguments: list,
                outputs: str):
        self.name = name
        self.description = description
        self.func = func
        self.arguments = arguments
        self.outputs = outputs

    def to_string(self) -> str:
        """
        Return a string representation of the tool,
        including its name, description, arguments, and outputs.
        """
        args_str = ", ".join([
            f"{arg_name}: {arg_type}" for arg_name, arg_type in self.arguments
        ])

        return (
            f"Tool Name: {self.name,}"
            f"Description: {self.description,}"
            f"Arguments: {args_str},"
            f"Outputs: {self.outputs}"
        )

    def __call__(self, *args, **kwargs):
        """
        Invoke the underlying function (callable) with provided arguments.
        """

        return self.func(*args, **kwargs)

#  Here are tools created the Tool class

calculator_tool = Tool(
    "calculator",
    "Multiply",
    calculator,
    [("a", "int"), ("b", "int")],
    "int",

# Below is an example of a tool that does nothing. Amaze us with your creativity!

@tool
def get_domain_ip(domain:str)-> str: #it's important to specify the return type
    #Keep this format for the description / args / args description but feel free to modify the tool
    """
    A tool that retrieves WHOIS information for a given domain, including registrant and technical contact details. 
    
    Args:
        domain: A string representing a valid domain name (e.g., 'google.com or www.google.co') to look up.

    Returns:
        A formatted string containing the domain's WHOIS information.
    """
    try:
        # Create a domain object
        domain = domain
        domain_info = (domain)
        return f"A summary of the '{domain}' domain and contact details: {domain_info}"
    except Exception as e:
        return f"Error fetching domain for {domain} whois lookup: {e}"

@tool
def calculator(a: int, b: int) -> int:
    """Multiply two integers."""
    return a * b

print(calculator_tool.to_string())


        
@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], ## 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()