minor error fix

app.py

@@ -173,11 +173,12 @@ def clickable(x, which_one):
         return f'<a target="_blank" href="https://huggingface.co/{which_one}/{x}" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">{x}</a>'
 
 
-def models_df_to_clickable(df, columns, which_one):
+def df_to_clickable(df, columns, which_one):
     for column in columns:
         if column == "Organization Name":
             df[column] = df[column].apply(lambda x: clickable(x, "models"))
-        df[column] = df[column].apply(lambda x: clickable(x, which_one))
+        else:
+            df[column] = df[column].apply(lambda x: clickable(x, which_one))
     return df
 
 
@@ -189,7 +190,7 @@ with gr.Blocks() as demo:
         columns_to_convert = ["Organization Name", "Best Model On Open LLM Leaderboard", "Most Downloaded Model", "Most Liked Model"]
 
         models_df = make_leaderboard(org_names_in_list, "models")
-        models_df = models_df_to_clickable(models_df, columns_to_convert, "models")
+        models_df = df_to_clickable(models_df, columns_to_convert, "models")
 
         headers = ["🔢 Serial Number", "🏢 Organization Name", "📥 Total Downloads", "👍 Total Likes", "🤖 Number of Models",
                    "🏆 Best Model On Open LLM Leaderboard", "🥇 Best Rank On Open LLM Leaderboard",
@@ -203,7 +204,7 @@ with gr.Blocks() as demo:
     with gr.TabItem("📊 Dataset", id=2):
         columns_to_convert = ["Organization Name", "Most Downloaded Dataset", "Most Liked Dataset"]
         dataset_df = make_leaderboard(org_names_in_list, "datasets")
-        dataset_df = models_df_to_clickable(dataset_df, columns_to_convert, "datasets")
+        dataset_df = df_to_clickable(dataset_df, columns_to_convert, "datasets")
 
         headers = ["🔢 Serial Number", "🏢 Organization Name", "📥 Total Downloads", "👍 Total Likes",
                    "📊 Number of Datasets", "📊 Average Downloads per Dataset", "📈 Average Likes per Dataset",
@@ -217,7 +218,7 @@ with gr.Blocks() as demo:
         columns_to_convert = ["Organization Name", "Most Liked Space"]
 
         spaces_df = make_leaderboard(org_names_in_list, "spaces")
-        spaces_df = models_df_to_clickable(spaces_df, columns_to_convert, "spaces")
+        spaces_df = df_to_clickable(spaces_df, columns_to_convert, "spaces")
 
         headers = ["🔢 Serial Number", "🏢 Organization Name", "👍 Total Likes", "🚀 Number of Spaces",
                    "📈 Average Likes per Space", "❤ Most Liked Space", "👍 Most Like Count"]