gradio/hub version of display dataframe -> hyperlink to profiles

app.py

@@ -58,6 +58,7 @@ global_df = pd.DataFrame()
 print(type(global_df))
 community_global_df = pd.DataFrame() 
 community_global_df_with_id = pd.DataFrame()
+community_global_df_gradio = pd.DataFrame()
 test_merge = pd.read_csv("https://docs.google.com/spreadsheets/d/1C8aLqgCqLYcMiIFf-P_Aosaa03C_WLIB_UyqvjSdWg8/export?format=csv&gid=0")
 data = pd.read_csv("https://docs.google.com/spreadsheets/d/1hQSsIg1Y9WdBF_CdNM1L1rUUREoxKqRTe3_ILo-WK8w/export?format=csv&gid=0")
 data2 = pd.read_csv("https://docs.google.com/spreadsheets/d/1T_twNONDSZ8zw7aDcYhw92DlawqPktti1xFw9ssJ13Y/export?format=csv&gid=0")
@@ -543,12 +544,17 @@ async def on_reaction_add(reaction, user):
         print(f"on_reaction_add Error: {e}")
 
 
+def format_hyperlink(username):
+    return f'<a target="_blank" href="https://huggingface.co/{username}" style="color: var(--link-text-color);">{username}</a>'
+
+
 @tasks.loop(minutes=1)
 async def remove_huggingfolks():
     try:
         # remove huggingfolks
         global community_global_df
-        global community_global_df_with_id        
+        global community_global_df_with_id   
+        global community_global_df_gradio
 
         community_global_df = global_df.copy()
         
@@ -579,7 +585,10 @@ async def remove_huggingfolks():
         community_global_df = community_global_df.dropna(subset=['hf_user_name'])
         community_global_df['total_exp'] = community_global_df['total_exp'].str.strip('L').astype(int)
         community_global_df['total_exp'] = pd.to_numeric(community_global_df['total_exp'], errors='coerce').fillna(0).astype(int)
-        community_global_df = community_global_df.nlargest(len(community_global_df), 'total_exp')        
+        community_global_df = community_global_df.nlargest(len(community_global_df), 'total_exp')  
+        # add profile hyperlinks to gradio demo
+        community_global_df_gradio = community_global_df
+        community_global_df_gradio['hf_user_name'] = community_global_df_gradio['hf_user_name'].apply(format_hyperlink)
         
         top_30_exp = community_global_df.nlargest(30, 'total_exp')
         
@@ -639,7 +648,7 @@ csv_url = URL.replace('/edit#gid=', '/export?format=csv&gid=')
 
 def get_data():
     try:
-        return community_global_df   
+        return community_global_df_gradio   
     except Exception as e:
         print(f"get_data Error: {e}")