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
import os

from PIL import Image
import requests
from io import BytesIO


print(os.getcwd())
current_directory = os.path.dirname(os.path.abspath(__file__))


# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
# it's import to specify the return type
def get_random_image(width: int, height: int) -> Image.Image:
    """Retrieve a random image with the desired dimensions.

    Args:
        width: Desired width of the image.
        height: Desired height of the image.
    """
    if width <= 0 or height <= 0:
        raise ValueError("Width and height must be positive integers.")

    # Generate the URL for a random image
    url = f"https://picsum.photos/{width}/{height}"

    # Download the image
    response = requests.get(url)
    if response.status_code == 200:
        # Open the image
        image = Image.open(BytesIO(response.content))
        return image
    else:
        raise Exception("Failed to download the image.")


@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_id='Qwen/Qwen2.5-Coder-32B-Instruct'

model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    # it is possible that this model may be overloaded
    model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
    custom_role_conversions=None,
)


# Import tool from Hub
image_generation_tool = load_tool(
    "agents-course/text-to-image", trust_remote_code=True)

prompts_file = f"prompts.yaml"
prompts_path = f"{current_directory}/{prompts_file}"

with open(prompts_path, 'r') as stream:
    prompt_templates = yaml.safe_load(stream)

agent = CodeAgent(
    model=model,
    # add your tools here (don't remove final answer)
    tools=[get_random_image, get_current_time_in_timezone, final_answer],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()