test

app.py

@@ -329,11 +329,6 @@ def run_bot():
 threading.Thread(target=run_bot).start()
 
 
-def get_data():
-    first_3_columns = global_df.iloc[:, 1:4]
-    first_3_columns.to_csv('first_3_columns.csv', index=False)
-    return first_3_columns
-
 # csv
 # read into pandas dataframe1
 # read levels column and create pandas dataframe2 with first column containing levels from 2-max found in dataframe1
@@ -341,39 +336,5 @@ def get_data():
 
 demo = gr.Blocks()
 with demo:
-    column_values_unique = sorted(global_df.iloc[:, 3].unique())
-    dataframe2 = pd.DataFrame({'Levels': column_values_unique})
-    counts = {}
-    for value in global_df.iloc[:, 3]:
-        counts[value] = counts.get(value, 0) + 1
-    dataframe2['Members'] = dataframe2['Levels'].map(counts)
-
-    print("Dataframe 1:")
-    print(dataframe1)
-    print("\nDataframe 2:")
-    print(dataframe2)
-
-    TITLE = """<h1 align="center" id="space-title">🤗 Hugging Face Level Leaderboard</h1>"""
     gr.HTML(TITLE)
-    with gr.Tabs(elem_classes="tab-buttons") as tabs:
-        with gr.TabItem("🏅 Level leaderboard", elem_id="level-table", id=0):
-            #gr.Markdown("# 📈 Experience Leaderboard")
-            with gr.Row():
-                with gr.Column():
-                    gr.DataFrame(get_data, every=5, height=500, interactive=False, col_count=(3, "fixed"), column_widths=["100px","100px","100px"])
-
-                with gr.Column():
-                    gr.BarPlot(
-                        value=dataframe2,
-                        x="Levels",
-                        y="Members",
-                        title="Level Distribution",
-                        height=450,
-                        width=450,
-                        interactive=False
-                    )                   
-        #with gr.TabItem("📈 Members of the Week", elem_id="week-table", id=1):
-     
-        #with gr.TabItem("📈 Hub-only leaderboard", elem_id="hub-table", id=2):
-
 demo.queue().launch()