Upload tool

app.py

@@ -0,0 +1,4 @@
+from transformers import launch_gradio_demo
+from model_downloads import HFModelDownloadsTool
+
+launch_gradio_demo(HFModelDownloadsTool)

model_downloads.py

@@ -0,0 +1,21 @@
+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 returns the name of the checkpoint."
+    )
+
+    inputs = {
+        "name": {
+            "type": str,
+            "description": "the name of the category (such as text-classification, depth-estimation, etc)",
+        }
+    }
+    output_type = str
+
+    def __call__(self, task: str):
+        model = next(iter(list_models(filter=task, sort="downloads", direction=-1)))
+        return model.id

requirements.txt

@@ -0,0 +1,2 @@
+huggingface_hub
+transformers

tool_config.json

@@ -0,0 +1,5 @@
+{
+  "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.",
+  "name": "model_download_counter",
+  "tool_class": "model_downloads.HFModelDownloadsTool"
+}