Upload tool

app.py

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+from transformers.tools.base import launch_gradio_demo
+from model_downloads import HFModelDownloadsTool
+
+launch_gradio_demo(HFModelDownloadsTool)

model_downloads.py

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+from transformers 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."
+    )
+
+    inputs = ["text"]
+    outputs = ["text"]
+
+    def __call__(self, task: str):
+        model = next(iter(list_models(filter=task, sort="downloads", direction=-1)))

requirements.txt

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+huggingface_hub
+transformers

tool_config.json

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+{
+  "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.",
+  "name": "model_download_counter",
+  "tool_class": "model_downloads.HFModelDownloadsTool"
+}