model_downloads.py

from transformers.tools import Tool
from huggingface_hub import list_models


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 takes the name of the category (such as text-classification, depth-estimation, etc), and " 
        "returns the name of the checkpoint alongside its 30-day download numbers."
    )

    inputs = ['text']
    outputs = ['text']

    def __call__(self, task: str):
        model = next(iter(list_models(filter=task, sort='downloads', direction=-1)))
        return f"{model.id} with {model.downloads} downloads over the past 30 days."