Update app.py

app.py

@@ -57,25 +57,33 @@ def prepare_authors_df(models_df):
 all_models_df = fetch_models().sort_values(by="Downloads (30d)", ascending=False)
 authors_df = prepare_authors_df(all_models_df)
 
+# Calculate totals
+total_models_count = len(all_models_df)
+total_downloads = all_models_df["Downloads (30d)"].sum()
+total_likes = all_models_df["Likes"].sum()
+
 def update_model_table(start_idx):
-    # Instead of messing with model_table.value, just return more rows from all_models_df
     new_end = start_idx + CHUNK_SIZE
-    # Slice the global DataFrame that already has HTML formatting
     combined_df = all_models_df.iloc[:new_end].copy()
     return combined_df, new_end
 
 with gr.Blocks() as demo:
-    gr.Markdown("""
+    gr.Markdown(f"""
     # 🚀GGUF Tracker🚀
-    Welcome to 🚀**GGUF Tracker**🚀, a live-updating leaderboard for all things GGUF on 🚀Hugging Face. It’s simple: the stats refresh every hour, giving you the latest numbers on downloads, likes, and top contributors. Whether you're here to find models or just check out who's 🚀killing it, this is the place.
+    Welcome to 🚀**GGUF Tracker**🚀, a live-updating leaderboard for all things GGUF on 🚀Hugging Face.  
+    Stats refresh every hour, giving you the latest numbers.
+
+    By the way, I’m 🚀Richard Erkhov, and you can check out more of what I’m working on at my [🌟**github**](https://github.com/RichardErkhov), 
+    [🌟**huggingface**](https://huggingface.co/RichardErkhov) or [🌟**erkhov.com**](https://erkhov.com). Go take a look—I think you’ll like what you find.
+    """)
 
-    By the way, I’m 🚀Richard Erkhov, and you can check out more of what I’m working on at my [🌟**github**](https://github.com/RichardErkhov), [🌟**huggingface**](https://huggingface.co/RichardErkhov) or [🌟**erkhov.com**](https://erkhov.com). Go take a look—I think you’ll like what you find.
+    gr.Markdown(f"""
+    # GGUF Models and Authors Leaderboard
+    **Total Models:** {total_models_count} | **Total Downloads (30d):** {total_downloads} | **Total Likes:** {total_likes}
     """)
-    # Existing content
-    gr.Markdown("# GGUF Models and Authors Leaderboard")
+
     with gr.Tabs():
         with gr.TabItem("Models"):
-            # Initially load the first CHUNK_SIZE rows
             model_table = gr.DataFrame(
                 value=all_models_df.iloc[:CHUNK_SIZE],
                 interactive=True,