remove open llm leaderboard related columns

app.py

@@ -17,7 +17,6 @@ HF_TOKEN = os.getenv('HF_TOKEN')
 
 
 headers_models = ["🔢 Serial Number", "👤 Author Name", "📥 Total Downloads", "👍 Total Likes", "🤖 Number of Models",
-            "🏆 Best Model On Open LLM Leaderboard", "🥇 Best Rank On Open LLM Leaderboard",
             "📊 Average Downloads per Model", "📈 Average Likes per Model", "🚀 Most Downloaded Model",
             "📈 Most Download Count", "❤️ Most Liked Model", "👍 Most Like Count", "🔥 Trending Model",
             "👑 Best Rank at Trending Models", "🏷️ Type"]
@@ -158,8 +157,6 @@ def make_leaderboard(orgs, users, which_one, data):
                     "Total Downloads": sum_info["Downloads"],
                     "Total Likes": sum_info["Likes"],
                     "Number of Models": num_things,
-                    "Best Model On Open LLM Leaderboard": open_llm_leaderboard_get_org[1] if open_llm_leaderboard_get_org not in ["Not Found", "Error on Leaderboard"] else open_llm_leaderboard_get_org,
-                    "Best Rank On Open LLM Leaderboard": open_llm_leaderboard_get_org[1] if open_llm_leaderboard_get_org not in ["Not Found", "Error on Leaderboard"] else open_llm_leaderboard_get_org,
                     "Average Downloads per Model": int(sum_info["Downloads"] / num_things) if num_things != 0 else 0,
                     "Average Likes per Model": int(sum_info["Likes"] / num_things) if num_things != 0 else 0,
                     "Most Downloaded Model": most_info["Most Download"]["id"],
@@ -292,8 +289,6 @@ INTRODUCTION_TEXT = f"""
 
 🛠️ The leaderboard's backend mainly runs on the [Hugging Face Hub API](https://huggingface.co/docs/huggingface_hub/v0.5.1/en/package_reference/hf_api).
 
-📒 **Note:** In the model's dataframe, there are some columns related to the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). This data is also retrieved through web scraping.
-
 📒 **Note:** In trending models/datasets/spaces, first 300 models/datasets/spaces is being retrieved from huggingface.
 
 ## 🔍 Searching Organizations and Users
@@ -539,7 +534,7 @@ with gr.Blocks() as demo:
         search_bar_in_df = gr.Textbox(placeholder="🔍 Search for a author", show_label=False)
     
     with gr.TabItem("🏛️ Models", id=1):
-        columns_to_convert = ["Author Name", "Best Model On Open LLM Leaderboard", "Most Downloaded Model",
+        columns_to_convert = ["Author Name", "Most Downloaded Model",
                               "Most Liked Model", "Trending Model"]
         models_df = make_leaderboard(org_names_in_list, user_names_in_list, "models", group_models_by_author(all_models))
         models_df = models_df_to_clickable(models_df, columns_to_convert, "models")