Update app.py

app.py

@@ -71,20 +71,21 @@ with block:
                     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)
-                baseline_header = ["method_name"] + metric_names
-                baseline_datatype = ['markdown'] + ['number'] * len(metric_names)
-    
-                data_component = gr.components.Dataframe(
-                    value=baseline_value,
-                    headers=baseline_header,
-                    type="pandas",
-                    datatype=baseline_datatype,
-                    interactive=False,
-                    visible=True,
-                )
+
+                with gr.Row():
+                    # Display the filtered leaderboard
+                    baseline_value = get_baseline_df(method_names, metric_names)
+                    baseline_header = ["method_name"] + metric_names
+                    baseline_datatype = ['markdown'] + ['number'] * len(metric_names)
+        
+                    data_component = gr.components.Dataframe(
+                        value=baseline_value,
+                        headers=baseline_header,
+                        type="pandas",
+                        datatype=baseline_datatype,
+                        interactive=False,
+                        visible=True,
+                    )
     
                 # Update leaderboard when method/metric selection changes
                 leaderboard_method_selector.change(
@@ -99,23 +100,30 @@ with block:
                 )
 
             with gr.Row(variant='panel', show_progress=True):
-                # Dropdown for benchmark type
-                benchmark_type_selector = gr.Dropdown(choices=list(benchmark_specific_metrics.keys()), label="Select Benchmark Type")
-    
-                # 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)
-                
-                # CheckboxGroup for methods
-                method_selector = gr.CheckboxGroup(choices=method_names, label="Select methods to visualize", interactive=True, value=method_names)
+
+                with gr.Row():
+                    # 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)
+
+                with gr.Row():
+                    # CheckboxGroup for methods
+                    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
-                plot_button = gr.Button("Plot")
-                plot_output = gr.Image(label="Plot")
+                with gr.Row():
+                    plot_button = gr.Button("Plot")
+                
+                with gr.Row():
+                    plot_output = gr.Image(label="Plot")
                 
                 # Update selectors when benchmark type changes
                 benchmark_type_selector.change(