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

from tools.final_answer import FinalAnswerTool
from tools.visit_webpage import VisitWebpageTool  # Import tool function
from tools.web_search import DuckDuckGoSearchTool        # Import tool function
from Gradio_UI import GradioUI

@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)}"

@tool
def image_generator(prompt: str, model_name: str = "CompVis/stable-diffusion-v1-4"):
    """A tool that Generate an image from a text prompt using a free Hugging Face model.

    Args:
        prompt (str): Text prompt to generate image.
        model_name (str): Model to use from Hugging Face hub (default is Stable Diffusion v1.4).

    Returns:
        PIL.Image.Image: Generated image.
    """
    pipe = StableDiffusionPipeline.from_pretrained(model_name, torch_dtype=torch.float16)
    pipe = pipe.to("cuda" if torch.cuda.is_available() else "cpu")

    image = pipe(prompt).images[0]
    return image

final_answer = FinalAnswerTool()
visit_webpage = VisitWebpageTool()
web_search = DuckDuckGoSearchTool()

# 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)

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer, visit_webpage, web_search, get_current_time_in_timezone, image_generator],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()