Omartificial-Intelligence-Space
commited on
Commit
•
25509f3
1
Parent(s):
4159f5f
update app.py
Browse files
app.py
CHANGED
@@ -71,12 +71,12 @@ with demo:
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gr.Markdown("No evaluations have been performed yet. The leaderboard is currently empty.")
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else:
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default_selection = [col.name for col in COLUMNS if col.displayed_by_default]
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-
print("Default Selection before ensuring '
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# Ensure "
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if "
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default_selection.insert(0, "
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print("Default Selection after ensuring '
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leaderboard = Leaderboard(
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value=LEADERBOARD_DF,
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@@ -86,7 +86,7 @@ with demo:
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cant_deselect=[col.name for col in COLUMNS if col.never_hidden],
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label="Select Columns to Display:",
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),
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-
search_columns=[col.name for col in COLUMNS if col.name in ["
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hide_columns=[col.name for col in COLUMNS if col.hidden],
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filter_columns=[
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ColumnFilter("model_type", type="checkboxgroup", label="Model types"),
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@@ -180,4 +180,4 @@ with demo:
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scheduler = BackgroundScheduler()
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scheduler.add_job(restart_space, "interval", seconds=1800)
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scheduler.start()
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demo.queue(default_concurrency_limit=40).launch()
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gr.Markdown("No evaluations have been performed yet. The leaderboard is currently empty.")
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else:
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default_selection = [col.name for col in COLUMNS if col.displayed_by_default]
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+
print("Default Selection before ensuring 'model_name':", default_selection) # Debug
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# Ensure "model_name" is included
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if "model_name" not in default_selection:
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default_selection.insert(0, "model_name")
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print("Default Selection after ensuring 'model_name':", default_selection) # Debug
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leaderboard = Leaderboard(
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value=LEADERBOARD_DF,
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cant_deselect=[col.name for col in COLUMNS if col.never_hidden],
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label="Select Columns to Display:",
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),
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+
search_columns=[col.name for col in COLUMNS if col.name in ["model_name", "license"]], # Updated to 'model_name'
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hide_columns=[col.name for col in COLUMNS if col.hidden],
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filter_columns=[
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ColumnFilter("model_type", type="checkboxgroup", label="Model types"),
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scheduler = BackgroundScheduler()
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scheduler.add_job(restart_space, "interval", seconds=1800)
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scheduler.start()
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+
demo.queue(default_concurrency_limit=40).launch()
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