from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
import datetime
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from smolagents.prompts import get_prompt_template  # Import this to get prompt templates

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 important to specify the return type
    """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:
        # 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)

# Load the custom prompt templates
with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)

# Ensure required defaults are included
prompt_templates.setdefault("final_answer", get_prompt_template("final_answer"))
prompt_templates.setdefault("managed_agent", get_prompt_template("managed_agent"))

# If "final_answer" was not loaded from the YAML or smolagents, define it manually
if "final_answer" not in prompt_templates:
    prompt_templates["final_answer"] = """
    The final answer will be provided based on the task at hand.
    """

# Now, proceed to create the CodeAgent
agent = CodeAgent(
    model=model,
    tools=[final_answer, my_custom_tool, get_current_time_in_timezone, 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  # Passing the prompt_templates dictionary
)

# Launch the Gradio UI for interacting with the agent
GradioUI(agent).launch()