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Running
on
CPU Upgrade
Update app.py
Browse files
app.py
CHANGED
@@ -324,10 +324,7 @@ async def xp_help(ctx):
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# check if members are still in the server
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""""""
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first_3_columns = data.iloc[:, 1:4]
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first_3_columns.to_csv('first_3_columns.csv', index=False)
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return first_3_columns
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# csv
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# read into pandas dataframe1
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@@ -336,39 +333,8 @@ def get_data():
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demo = gr.Blocks()
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with demo:
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column_values_unique = sorted(data.iloc[:, 3].unique())
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dataframe2 = pd.DataFrame({'Levels': column_values_unique})
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counts = {}
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for value in data.iloc[:, 3]:
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counts[value] = counts.get(value, 0) + 1
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dataframe2['Members'] = dataframe2['Levels'].map(counts)
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print("\nDataframe 2:")
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print(dataframe2)
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TITLE = """<h1 align="center" id="space-title">π€ Hugging Face Level Leaderboard</h1>"""
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gr.HTML(TITLE)
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with gr.Tabs(elem_classes="tab-buttons") as tabs:
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with gr.TabItem("π
Level leaderboard", elem_id="level-table", id=0):
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#gr.Markdown("# π Experience Leaderboard")
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with gr.Row():
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with gr.Column():
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gr.DataFrame(get_data, every=5, height=500, interactive=False, col_count=(3, "fixed"), column_widths=["100px","100px","100px"])
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with gr.Column():
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gr.BarPlot(
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value=dataframe2,
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x="Levels",
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y="Members",
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title="Level Distribution",
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height=450,
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width=450,
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interactive=False
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)
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#with gr.TabItem("π Members of the Week", elem_id="week-table", id=1):
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#with gr.TabItem("π Hub-only leaderboard", elem_id="hub-table", id=2):
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demo.queue().launch()
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# check if members are still in the server
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""""""
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# csv
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# read into pandas dataframe1
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demo = gr.Blocks()
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with demo:
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TITLE = """<h1 align="center" id="space-title">π€ Hugging Face Level Leaderboard</h1>"""
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gr.HTML(TITLE)
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demo.queue().launch()
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