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
from PIL import Image
import gradio as gr

# 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 which i creating. A tool for generating an animal image
@tool
def animal_image_generation_tool(animal_name: str) -> Image.Image:
    """Generating an image of an animal by its name.
    Args:
        animal_name: A string representing the name of the animal to search for (e.g., 'cat').
    Returns:
        A string with the URL of the generated image or an error message.
    """
    try:
        # use the DuckDuckGo Search to find information about an animal by its name.
        search_tool = DuckDuckGoSearchTool()
        search_tool.run = f"{animal_name} animal description"
        search_results = search_tool(search_tool.run)

        # generates an image based on the description of an animal.
        promt = f"Create a realistic image of a {animal_name}"
        image = image_generation_tool(promt)  # This returns a PIL image

        return image # Return the path to the saved image       
    except Exception as e:
        return f"Error during image generation: {str(e)}"

# Function to display the image in Gradio
def display_image(animal_name: str):
    # Call the tool to generate the image
    image = animal_image_generation_tool(animal_name)
    if isinstance(image, str):  # If an error message is returned
        return image  # Return the error message
    return image  # Return the PIL image object

@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)}"


# Initializing the tool for the final response
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' 

# configuring the model
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   
#model_id="meta-llama/Llama-3.2-3B-Instruct",
custom_role_conversions=None,
)


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

# Uploading Suggestion Templates
with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
# creating an agent
agent = CodeAgent(
    model=model,
    tools=[final_answer, animal_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
)

# Gradio Interface
def gradio_interface(animal_name: str):
    return display_image(animal_name)


# Launch Gradio UI
iface = gr.Interface(
    fn=gradio_interface,
    inputs="text",
    outputs="image",
    title="Animal Image Generator",
    description="Generate an image of an animal by its name.",
)


GradioUI(agent).launch()