from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool,tool, LiteLLMModel

from names_dataset import NameDataset

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 name_information(name: str)-> 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 gets information about a first name top countries and gender
    Args:
        name: the first name
    """
    results = nd.search(name)
    first_name = results["first_name"]
    first_name_top_countries = ", ".join([k for k in first_name["country"].keys()])
    if first_name["gender"]["Male"] > 0.6:
        first_name_gender = "male"
    elif first_name["gender"]["Female"] > 0.6:
        first_name_gender = "female"
    else:
        first_name_gender = male 
    return f"{name} is the most common in {first_name_top_countries}  and is generally a {first_name_gender} name"

@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)}"

nd = NameDataset()
duckduck_go_search = DuckDuckGoSearchTool()
final_answer = FinalAnswerTool()
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
#model_id='https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud',# it is possible that this model may be overloaded
custom_role_conversions=None,
)

model = LiteLLMModel("anthropic/claude-3-5-sonnet-latest", temperature=0.2, max_tokens=2096)

# 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, duckduck_go_search, name_information], ## 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()