Update app.py

app.py

@@ -63,14 +63,12 @@ with block:
                 metric_names.remove('method_name')  # Remove method_name from the metric options
             
                 # Leaderboard section with method and metric selectors
-                with gr.Row():
-                    # Add method and metric selectors for leaderboard
-                    leaderboard_method_selector = gr.CheckboxGroup(
-                        choices=method_names, label="Select method_names for Leaderboard", value=method_names, interactive=True
-                    )
-                    leaderboard_metric_selector = gr.CheckboxGroup(
-                        choices=metric_names, label="Select Metrics for Leaderboard", value=metric_names, interactive=True
-                    )
+                leaderboard_method_selector = gr.CheckboxGroup(
+                    choices=method_names, label="Select method_names for Leaderboard", value=method_names, interactive=True
+                )
+                leaderboard_metric_selector = gr.CheckboxGroup(
+                    choices=metric_names, label="Select Metrics for Leaderboard", value=metric_names, interactive=True
+                )
 
                 # Display the filtered leaderboard
                 baseline_value = get_baseline_df(method_names, metric_names)
@@ -103,20 +101,19 @@ with block:
                 # Dropdown for benchmark type
                 benchmark_type_selector = gr.Dropdown(choices=list(benchmark_specific_metrics.keys()), label="Select Benchmark Type")
 
-                with gr.Row():
-                    # Dynamic selectors
-                    x_metric_selector = gr.Dropdown(choices=[], label="Select X-axis Metric", visible=False)
-                    y_metric_selector = gr.Dropdown(choices=[], label="Select Y-axis Metric", visible=False)
-                    aspect_type_selector = gr.Dropdown(choices=[], label="Select Aspect Type", visible=False)
-                    dataset_type_selector = gr.Dropdown(choices=[], label="Select Dataset Type", visible=False)
-                    dataset_selector = gr.Dropdown(choices=[], label="Select Dataset", visible=False)
-                    single_metric_selector = gr.Dropdown(choices=[], label="Select Metric", visible=False)
+                # Dynamic selectors
+                x_metric_selector = gr.Dropdown(choices=[], label="Select X-axis Metric", visible=False)
+                y_metric_selector = gr.Dropdown(choices=[], label="Select Y-axis Metric", visible=False)
+                aspect_type_selector = gr.Dropdown(choices=[], label="Select Aspect Type", visible=False)
+                dataset_type_selector = gr.Dropdown(choices=[], label="Select Dataset Type", visible=False)
+                dataset_selector = gr.Dropdown(choices=[], label="Select Dataset", visible=False)
+                single_metric_selector = gr.Dropdown(choices=[], label="Select Metric", visible=False)
 
                 method_selector = gr.CheckboxGroup(choices=method_names, label="Select methods to visualize", interactive=True, value=method_names)
                 
                 # Button to draw the plot for the selected benchmark
-                with gr.Row():
-                    plot_button = gr.Button("Plot")
+
+                plot_button = gr.Button("Plot")
                 
                 plot_output = gr.Image(label="Plot")