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

from Gradio_UI import GradioUI


@tool
def get_number_facts(numbers: list[int]) -> str:
    """A tool that gets an interesting fact about a given list of numbers
    Args:
        numbers: A list of numbers to get the information about
    Returns:
        newline-separated interesting facts about given numbers
    """
    return "\n".join([
        r.text
        for number in numbers 
        if (r := requests.get(f"http://numbersapi.com/{number}")).status_code == 200
    ])

@tool
def get_dividors(base_number: int) -> list[int]:
    """A tool that gets a list of base_number's divisors
    Args:
        base_number: The number to get divisors of
    Returns:
        A list of all `base_number`s divisors
    """
    return sorted(set([i for i in range(2, abs(base_number)) if base_number%i == 0]))

@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='meta-llama/Llama-3.2-3B-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, get_number_facts, get_dividors, get_current_time_in_timezone], ## 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()