Spaces:
Sleeping
Sleeping
zhouziyu02 commited on
Commit ·
3d6dd75
1
Parent(s): 1d3f6c0
Leaderboard: per-domain tables and auto-refresh countdown
Browse files- app.py +36 -60
- src/display/css_html_js.py +0 -13
app.py
CHANGED
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@@ -51,23 +51,21 @@ def refresh_leaderboard() -> tuple:
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prepare_values_table(grouped["overall_values"]),
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prepare_ranks_table(grouped["overall_ranks"]),
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build_status_line(status, baseline),
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REFRESH_SECONDS,
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f"Next auto-refresh in **{REFRESH_SECONDS}s**",
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]
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for domain in DOMAINS:
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values_df = grouped["domain_values"].get(domain)
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if values_df is not None and not values_df.empty:
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outputs.append(prepare_values_table(values_df))
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else:
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outputs.append(prepare_values_table(grouped["overall_values"].iloc[:0]))
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return tuple(outputs)
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def tick_refresh_progress(remaining: int) -> tuple[int, str]:
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next_remaining = max(int(remaining) - 1, 0)
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return next_remaining, f"Next auto-refresh in **{next_remaining}s**"
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grouped_initial = get_grouped_dfs(RESULTS_PATH)
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DOMAINS: list[str] = grouped_initial["domains"]
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INITIAL_OUTPUTS = refresh_leaderboard()
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@@ -78,48 +76,37 @@ with demo:
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gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
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status = gr.Markdown(INITIAL_OUTPUTS[2], elem_classes="markdown-text")
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label="Auto-refresh countdown",
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interactive=False,
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elem_id="refresh-progress",
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)
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refresh_countdown = gr.Markdown(
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f"Next auto-refresh in **{REFRESH_SECONDS}s**",
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elem_classes="markdown-text",
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)
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with gr.Row():
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refresh_btn = gr.Button("Refresh now", variant="secondary")
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gr.Markdown("### Overall", elem_classes="domain-heading")
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overall_values_df = gr.Dataframe(
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value=INITIAL_OUTPUTS[0],
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interactive=False,
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wrap=True,
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label="Metric values (normalized vs baseline, lower is better)",
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)
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overall_ranks_df = gr.Dataframe(
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value=INITIAL_OUTPUTS[1],
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interactive=False,
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wrap=True,
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label="Ranks (average per-dataset rank, lower is better)",
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)
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domain_value_dfs: list[gr.Dataframe] = []
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for i, domain in enumerate(DOMAINS):
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gr.Markdown(f"### {domain}", elem_classes="domain-heading")
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domain_value_dfs.append(
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gr.Dataframe(
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value=INITIAL_OUTPUTS[5 + i],
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interactive=False,
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wrap=True,
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label=
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)
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with gr.Accordion("About", open=False):
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gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")
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@@ -132,22 +119,11 @@ with demo:
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show_copy_button=True,
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)
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refresh_outputs = [
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status,
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refresh_progress,
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refresh_countdown,
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*domain_value_dfs,
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]
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refresh_btn.click(refresh_leaderboard, inputs=[], outputs=refresh_outputs)
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demo.load(refresh_leaderboard, inputs=[], outputs=refresh_outputs)
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gr.Timer(value=REFRESH_SECONDS).tick(refresh_leaderboard, inputs=[], outputs=refresh_outputs)
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gr.Timer(value=1).tick(
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tick_refresh_progress,
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inputs=[refresh_progress],
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outputs=[refresh_progress, refresh_countdown],
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)
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demo.queue(default_concurrency_limit=20).launch()
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prepare_values_table(grouped["overall_values"]),
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prepare_ranks_table(grouped["overall_ranks"]),
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build_status_line(status, baseline),
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]
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for domain in DOMAINS:
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values_df = grouped["domain_values"].get(domain)
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ranks_df = grouped["domain_ranks"].get(domain)
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if values_df is not None and not values_df.empty:
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outputs.append(prepare_values_table(values_df))
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else:
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outputs.append(prepare_values_table(grouped["overall_values"].iloc[:0]))
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if ranks_df is not None and not ranks_df.empty:
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outputs.append(prepare_ranks_table(ranks_df))
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else:
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outputs.append(prepare_ranks_table(grouped["overall_ranks"].iloc[:0]))
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return tuple(outputs)
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grouped_initial = get_grouped_dfs(RESULTS_PATH)
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DOMAINS: list[str] = grouped_initial["domains"]
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INITIAL_OUTPUTS = refresh_leaderboard()
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gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
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status = gr.Markdown(INITIAL_OUTPUTS[2], elem_classes="markdown-text")
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domain_tables: list[tuple[gr.Dataframe, gr.Dataframe]] = []
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with gr.Tabs():
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with gr.Tab("Overall"):
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overall_values_df = gr.Dataframe(
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value=INITIAL_OUTPUTS[0],
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interactive=False,
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wrap=True,
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label="Metric values (normalized vs baseline, lower is better)",
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)
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overall_ranks_df = gr.Dataframe(
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value=INITIAL_OUTPUTS[1],
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interactive=False,
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wrap=True,
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label="Ranks (average per-dataset rank, lower is better)",
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)
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for i, domain in enumerate(DOMAINS):
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with gr.Tab(domain):
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values_df = gr.Dataframe(
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value=INITIAL_OUTPUTS[3 + i * 2],
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interactive=False,
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wrap=True,
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label="Metric values (lower is better)",
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)
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ranks_df = gr.Dataframe(
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value=INITIAL_OUTPUTS[4 + i * 2],
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interactive=False,
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wrap=True,
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label="Ranks (lower is better)",
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)
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domain_tables.append((values_df, ranks_df))
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with gr.Accordion("About", open=False):
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gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")
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show_copy_button=True,
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)
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refresh_outputs: list[gr.Component] = [overall_values_df, overall_ranks_df, status]
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for values_df, ranks_df in domain_tables:
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refresh_outputs.extend([values_df, ranks_df])
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demo.load(refresh_leaderboard, inputs=[], outputs=refresh_outputs)
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gr.Timer(value=REFRESH_SECONDS).tick(refresh_leaderboard, inputs=[], outputs=refresh_outputs)
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demo.queue(default_concurrency_limit=20).launch()
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src/display/css_html_js.py
CHANGED
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@@ -2,17 +2,4 @@ custom_css = """
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.markdown-text { font-size: 16px !important; }
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.tab-buttons button { font-size: 20px; }
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#leaderboard-table { margin-top: 15px; }
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.domain-heading {
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margin-top: 1.75rem;
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margin-bottom: 0.5rem;
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font-size: 1.15rem;
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font-weight: 600;
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}
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#refresh-progress input[type="range"] {
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accent-color: #f97316;
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}
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#refresh-progress label span {
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font-size: 0.9rem;
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color: #64748b;
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}
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"""
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.markdown-text { font-size: 16px !important; }
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.tab-buttons button { font-size: 20px; }
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#leaderboard-table { margin-top: 15px; }
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"""
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