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app.py

@@ -251,12 +251,12 @@ with block:
                 with gr.Row():
                     gr.Markdown("The following is optional and will be synced to [GitHub](https://github.com/haoyi-duan/WorldScore/blob/main/README.md#world-generation-models-info)", elem_classes="markdown-text")
                 with gr.Row():
-                        release_time = gr.Textbox(label="Version", placeholder="2025.03.29")
-                        model_resolution = gr.Textbox(label="Resolution", placeholder="WidthxHeight")
-                        model_length = gr.Textbox(label="Video Length (s)", placeholder="float")
-                        model_fps = gr.Textbox(label="FPS", placeholder="int")
-                        model_frame = gr.Textbox(label="Frame Number", placeholder="int")
-                        model_link_optional = gr.Textbox(label="Link", placeholder='optional')
+                    release_time = gr.Textbox(label="Version", placeholder="2025.03.29")
+                    model_resolution = gr.Textbox(label="Resolution", placeholder="WidthxHeight")
+                    model_length = gr.Textbox(label="Video Length (s)", placeholder="float")
+                    model_fps = gr.Textbox(label="FPS", placeholder="int")
+                    model_frame = gr.Textbox(label="Frame Number", placeholder="int")
+                    model_link_optional = gr.Textbox(label="Link", placeholder='optional')
                 with gr.Column():
                     input_file = gr.components.File(label = "Click to Upload a JSON File", file_count="single", file_types=[".json"])
                     submit_button = gr.Button("Submit Eval")
@@ -287,29 +287,30 @@ with block:
                     )
 
 
-        def refresh_data():
-            model_type_filter.value = DEFAULT_MODEL_TYPE
-            ability_filter.value = DEFAULT_ABILITY
-            sort_by_filter.value = DEFAULT_INFO[0]
-            df = get_baseline_df()
+    def refresh_data():
+        model_type_filter.value = DEFAULT_MODEL_TYPE
+        ability_filter.value = DEFAULT_ABILITY
+        sort_by_filter.value = DEFAULT_INFO[0]
+        df = get_baseline_df()
+        
+        df = df[df['Model Type'].isin(model_type_filter.value)]
+        df = df[df['Ability'].isin(ability_filter.value)]
+        df = df.sort_values(by=sort_by_filter.value, ascending=False)
             
-            df = df[df['Model Type'].isin(model_type_filter.value)]
-            df = df[df['Ability'].isin(ability_filter.value)]
-            df = df.sort_values(by=sort_by_filter.value, ascending=False)
-                
-            data_component = gr.Dataframe(
-                value=df,
-                headers=COLUMN_NAMES,
-                type="pandas",
-                datatype=DATA_TITILE_TYPE,
-                interactive=False,
-                visible=True,
-                wrap=True
-            )
+        data_component = gr.Dataframe(
+            value=df,
+            headers=COLUMN_NAMES,
+            type="pandas",
+            datatype=DATA_TITILE_TYPE,
+            interactive=False,
+            visible=True,
+            wrap=True
+        )
 
-            return data_component, model_type_filter, ability_filter, sort_by_filter
+        return data_component, model_type_filter, ability_filter, sort_by_filter
 
-        with gr.Row(elem_classes="container"):
+    with gr.Row(elem_classes="container"):
+        with gr.Column():
             data_run = gr.Button("Refresh")
             data_run.click(
                 refresh_data,