from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool,Tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from PIL import Image

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 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 does nothing yet 
    Args:
        arg1: the first argument
        arg2: the second argument
    """
    return "What magic will you build ?"

@tool
def get_web_search_results(query: 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 searchs the web using a query.
    Args:
        query: A string representing a valid web query. IMPORTANT: Follow type str format strictly e.g. 'pictures of cats'.
    """
    search_results_tool = DuckDuckGoSearchTool()
    try:
        results = search_results_tool(query)
        if results and results != "None":
            return results
        else:
            return "Your query may be incorrectly formatted or there may be an issue with search engine."
    except Exception as e:
        return f"{query} is an invalid query"

@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 generate_image(description: str) -> str:
    """A tool that generates an image from a text description.
    Args:
        description: A string representing the text description to generate an image of.
    """
    image_generation_tool = Tool.from_space(
    "black-forest-labs/FLUX.1-schnell",
    name="image_generator",
    description="Generate an image from a prompt"
)
    # image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
    image = image_generation_tool(description)
    return f"Image generated for prompt: {description} is {image}."


# @tool
# def generate_image(description: str) -> str:
#     """A tool that generates an image from a text description.
#     Args:
#         description: A string representing the text description to generate an image of.
#     """
#     image_generation_tool = Tool.from_space(
#     "black-forest-labs/FLUX.1-schnell",
#     name="image_generator",
#     description="Generate an image from a prompt"
# )
#     # Generate the image
#     pil_image: Image = image_generation_tool(description)
    
#     # Convert image to bytes
#     buffered = BytesIO()
#     pil_image.save(buffered, format="PNG")
#     buffered.seek(0)
    
#     # Encode as base64
#     img_base64 = base64.b64encode(buffered.read()).decode()
    
#     # Return as Markdown image
#     return f"![Generated Image](data:image/png;base64,{img_base64})"
    


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='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded

model = HfApiModel(
max_tokens=2096,
temperature=0.5,
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)

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer, get_web_search_results, generate_image], ## 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()