credit Maziyar Panahi

app.py

@@ -87,7 +87,7 @@ def make_df(file_path: str, n_rows: int) -> pd.DataFrame:
     """
     columns = ["Available on the hub", "Model sha", "T", "Type", "Precision",
               "Architecture", "Weight type", "Hub ❤️", "Flagged", "MoE"]
-    ds = pd.read_csv(file_path)
+    ds = pd.read_csv(file_path, encoding='utf-8')
     df = (
           ds[
             (ds["#Params (B)"] == 7.24) &
@@ -469,7 +469,7 @@ title = """
   <p><em>AutoMerger selects two 7B models on top of the Open LLM Leaderboard, combine them with a merge technique, and evaluate the resulting model.</em></p>
 </div>
 """
-footer = '<div align="center"><p><em>Special thanks to <a href="https://huggingface.co/Weyaxi">Weyaxi</a> for the <a href="https://github.com/Weyaxi/scrape-open-llm-leaderboard">Open LLM Leaderboard Scraper</a> and <a href="https://github.com/cg123">Charles Goddard</a> for <a href="https://github.com/arcee-ai/mergekit">mergekit</a>.</em></p></div>'
+footer = '<div align="center"><p><em>Special thanks to <a href="https://huggingface.co/Weyaxi">Weyaxi</a> for the <a href="https://github.com/Weyaxi/scrape-open-llm-leaderboard">Open LLM Leaderboard Scraper</a>, <a href="https://github.com/cg123">Charles Goddard</a> for <a href="https://github.com/arcee-ai/mergekit">mergekit</a>, and <a href="https://huggingface.co/MaziyarPanahi">Maziyar Panahi</a> for making <a href="https://huggingface.co/collections/MaziyarPanahi/gguf-65afc99c3997c4b6d2d9e1d5">GGUF versions</a> of these automerges.</em></p></div>'
 with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue")) as demo:
     gr.Markdown(title)
     logs = gr.Textbox(label="Logs")