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Update app.py
Browse files
app.py
CHANGED
@@ -107,7 +107,7 @@ def get_plot_explanation(benchmark_type, x_metric, y_metric, aspect, dataset, si
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if benchmark_type == "function":
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return (
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f"Heat‑map shows model scores for **{aspect.upper()}** terms with **{single_metric}**. "
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"Darker squares
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)
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if benchmark_type == "family":
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return (
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@@ -137,31 +137,35 @@ def generate_plot_and_explanation(benchmark_type, methods_selected, x_metric, y_
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# Custom CSS for frozen first column and clearer table styles
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# ---------------------------------------------------------------------------
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CUSTOM_CSS = """
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/*
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#leaderboard-table
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position: sticky;
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left: 0;
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background: white;
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z-index:
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}
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#leaderboard-table table tr:nth-child(odd) {
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background: #fafafa;
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}
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#leaderboard-table td:not(:first-child) {
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text-align: center;
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}
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/* scrollable and taller table */
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#leaderboard-table .dataframe-wrap {
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max-height: 1200px;
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overflow-y: auto;
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overflow-x: auto;
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}
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"""
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# ---------------------------------------------------------------------------
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@@ -181,9 +185,14 @@ with block:
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gr.Image(
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value="./src/data/PROBE_workflow_figure.jpg",
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show_label=False,
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height=
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container=False,
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)
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leaderboard = get_baseline_df(None, None)
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method_names = leaderboard['Method'].unique().tolist()
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@@ -230,8 +239,7 @@ with block:
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datatype=baseline_datatype,
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interactive=False,
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elem_id="leaderboard-table",
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-
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max_height=1000,
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)
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# callbacks
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@@ -373,4 +381,4 @@ with block:
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)
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# ---------------------------------------------------------------------------
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block.launch()
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if benchmark_type == "function":
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return (
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f"Heat‑map shows model scores for **{aspect.upper()}** terms with **{single_metric}**. "
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"Darker squares → better predictions."
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)
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if benchmark_type == "family":
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return (
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# Custom CSS for frozen first column and clearer table styles
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# ---------------------------------------------------------------------------
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CUSTOM_CSS = """
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/* Freeze first column & improve scrolling for static Dataframe output */
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#leaderboard-table .dataframe-wrap {
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overflow-x: auto;
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overflow-y: auto;
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max-height: 650px; /* taller table */
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}
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#leaderboard-table table {
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border-collapse: collapse;
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}
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#leaderboard-table thead th,
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#leaderboard-table tbody td {
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padding: 4px 6px;
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}
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#leaderboard-table thead th:first-child,
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#leaderboard-table tbody td:first-child {
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position: sticky;
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left: 0;
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background: white;
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z-index: 3; /* stay on top */
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box-shadow: 2px 0 2px -2px #aaa; /* subtle divider */
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}
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/* striped rows */
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#leaderboard-table tbody tr:nth-child(odd) {
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background: #fafafa;
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}
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/* center numeric columns */
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#leaderboard-table tbody td:not(:first-child) {
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text-align: center;
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}
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"""
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# ---------------------------------------------------------------------------
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gr.Image(
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value="./src/data/PROBE_workflow_figure.jpg",
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show_label=False,
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height=150,
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container=False,
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)
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# explanatory sentence just below the figure
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gr.Markdown(
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"For detailed explanations of the metrics and benchmarks, please refer to the “About” tab.",
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elem_classes="leaderboard-note",
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)
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leaderboard = get_baseline_df(None, None)
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method_names = leaderboard['Method'].unique().tolist()
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datatype=baseline_datatype,
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interactive=False,
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elem_id="leaderboard-table",
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# make table longer
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)
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# callbacks
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)
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# ---------------------------------------------------------------------------
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block.launch()
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