filter gradio repos

app.py

@@ -87,6 +87,11 @@ def get_top_k_notebooks_by_repo_type(type: str = "space", k: int = 50):
     return df.filter(pl.col("repo_type") == type).head(k).to_pandas()
 
 
+def raw_current_notebook_dataframe():
+    df = pl.DataFrame(yield_notebooks_counts(exclude_users="gradio"))
+    return df.to_pandas()
+
+
 def update_stats():
     df = pl.LazyFrame(yield_notebooks_counts(exclude_users="gradio"))
 
@@ -155,6 +160,6 @@ with gr.Blocks() as demo:
     # repo_type.update(get_top_k_notebooks_by_repo_type, [repo_type, k],[df])
     gr.Markdown("## Notebooks on the Hub raw data")
     gr.DataFrame(pandas_df)
-
+    # gr.DataFrame(raw_current_notebook_dataframe())
 
 demo.launch(debug=True)