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

# Example tool that does nothing yet (you already had this)
@tool
def my_custom_tool(arg1: str, arg2: int) -> str:
    """A tool that does nothing yet 
    Args:
        arg1: the first argument
        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:
        tz = pytz.timezone(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)}"

# Instantiate the pre-made DuckDuckGoSearchTool.
duck_search_tool = DuckDuckGoSearchTool()

# Define a new tool that retrieves the latest AI news and trends.
@tool
def get_latest_ai_news() -> str:
    """A tool to retrieve the latest AI news and trends.
    Returns:
        A string summarizing the latest AI news.
    """
    try:
        query = "latest AI news and trends"
        # Use the DuckDuckGoSearchTool's search method.
        results = duck_search_tool.search(query)
        # For demonstration, assume results is a list of dicts with a "title" key.
        if results:
            # Take the titles of the top 3 search results.
            titles = [result.get("title", "No Title") for result in results[:3]]
            summary = " | ".join(titles)
            return "Latest AI News: " + summary
        else:
            return "No recent AI news found."
    except Exception as e:
        return f"Error fetching AI news: {str(e)}"

final_answer = FinalAnswerTool()

model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
    custom_role_conversions=None,
)

# Import tool from Hub (example: text-to-image tool)
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)
    
# Update the agent's tools list to include multiple tools:
agent = CodeAgent(
    model=model,
    tools=[final_answer],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

GradioUI(agent).launch()