from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from huggingface_hub import InferenceClient
from tools.final_answer import FinalAnswerTool
from gradio_client import Client
import os
import uuid

#client = Client("owner/space_name", hf_token=os.environ.get("HF_TOKEN"))
#result = client.predict("Astronaut riding a horse", api_name="/predict")


from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def inference_image_tool(prompt: str, model: str = "black-forest-labs/FLUX.1-dev") -> str:
    #Keep this format for the description / args / args description but feel free to modify the tool
    """Generate an image from a text prompt using Hugging Face Inference Providers.
    
    Returns:
        A local file path to a PNG image.

    Args:
        prompt: Text prompt for the image.
        model: HF model id (e.g. black-forest-labs/FLUX.1-dev).
    """
    token = os.getenv("HF_TOKEN")
    if not token:
        raise RuntimeError("HF_TOKEN is missing. Add it in Space Settings → Secrets.")

    client = InferenceClient(provider="auto", api_key=token)
    img = client.text_to_image(prompt, model=model)  # PIL.Image

    out_dir = "/tmp/agent_images"
    os.makedirs(out_dir, exist_ok=True)
    out_path = os.path.join(out_dir, f"{uuid.uuid4().hex}.png")
    img.save(out_path)
    return out_path


@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)

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


GradioUI(agent).launch()