Spaces:
Running
Running
Amber Tanaka
commited on
Little arrow button to take you back up (#24)
Browse files- content.py +20 -1
- ui_components.py +9 -2
content.py
CHANGED
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@@ -407,6 +407,26 @@ span.wrap[tabindex="0"][role="button"][data-editable="false"] {
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grid-row: 2 !important;
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grid-column: 1 / -1 !important;
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}
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/*------ Submission Page CSS ------*/
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#custom-form-group {
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border: 1px solid #000 !important;
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@@ -432,5 +452,4 @@ span.wrap[tabindex="0"][role="button"][data-editable="false"] {
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.styler {
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background: none;
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}
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-
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"""
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grid-row: 2 !important;
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grid-column: 1 / -1 !important;
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}
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.benchmark-header {
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display: flex !important;
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align-items: center !important;
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gap: 20px !important;
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}
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#scroll-up-button {
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flex-grow: 0;
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display: flex;
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color: #032629;
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background-color: #faf2e9;
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align-items: flex-end;
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height: 57px;
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padding: 0px;
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padding-bottom: 2px;
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min-width: 50px;
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}
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.dark #scroll-up-button {
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color: #faf2e9;
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background-color: #032629;
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}
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/*------ Submission Page CSS ------*/
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#custom-form-group {
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border: 1px solid #000 !important;
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.styler {
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background: none;
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}
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"""
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ui_components.py
CHANGED
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@@ -375,10 +375,17 @@ def create_benchmark_details_display(
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gr.Markdown("---")
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gr.Markdown("## Detailed Benchmark Results")
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-
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# 2. Loop through each benchmark and create its UI components
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for benchmark_name in benchmark_names:
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gr.
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# 3. Prepare the data for this specific benchmark's table and plot
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benchmark_score_col = f"{benchmark_name} Score"
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gr.Markdown("---")
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gr.Markdown("## Detailed Benchmark Results")
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scroll_to_top_js = "() => { window.scrollTo({top: 0, behavior: 'smooth'}); }"
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# 2. Loop through each benchmark and create its UI components
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for benchmark_name in benchmark_names:
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with gr.Row(elem_classes=["benchmark-header"]):
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gr.Markdown(f"### {benchmark_name} Leaderboard", header_links=True)
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scroll_up_button = gr.Button(
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value="⬆",
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elem_id="scroll-up-button",
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)
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# When the button is clicked, it runs our JavaScript function. No Python needed.
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scroll_up_button.click(fn=None, js=scroll_to_top_js)
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# 3. Prepare the data for this specific benchmark's table and plot
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benchmark_score_col = f"{benchmark_name} Score"
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