from smolagents.tools import Tool
import huggingface_hub

class HFModelDownloadsTool(Tool):
    name = "model_download_counter"
    description = """
    This is a tool that returns the most downloaded model of a given task on the Hugging Face Hub.
    It returns the name of the checkpoint."""
    inputs = {'task': {'type': 'string', 'description': 'the task category (such as text-classification, depth-estimation, etc)'}}
    output_type = "string"

    def forward(self, task: str):
        from huggingface_hub import list_models

        model = next(iter(list_models(filter=task, sort="downloads", direction=-1)))
        return model.id


    def __init__(self, *args, **kwargs):
        self.is_initialized = False