tool.py

from agents import Tool

    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