Update app.py

app.py

@@ -149,10 +149,10 @@ with block:
             with gr.Row():
                 with gr.Column():
                     model_name_textbox = gr.Textbox(
-                        label="Model name",
+                        label="Method name",
                     )
                     revision_name_textbox = gr.Textbox(
-                        label="Revision Model Name",
+                        label="Revision Method Name",
                     )
                     
                     benchmark_types = gr.CheckboxGroup(
@@ -178,7 +178,6 @@ with block:
                         interactive=True,
                     )
 
-
                     function_dataset = gr.Textbox(
                         label="Function Prediction Datasets",
                         visible=False,
@@ -190,27 +189,27 @@ with block:
                         value=True
                     )
 
-            with gr.Column():
-                human_file = gr.components.File(label="Click to Upload the representation file (csv) for Human dataset", file_count="single", type='filepath')
-                skempi_file = gr.components.File(label="Click to Upload the representation file (csv) for SKEMPI dataset", file_count="single", type='filepath')
+            #with gr.Column():
+            human_file = gr.components.File(label="The representation file (csv) for Human dataset", file_count="single", type='filepath')
+            skempi_file = gr.components.File(label="The representation file (csv) for SKEMPI dataset", file_count="single", type='filepath')
     
-                submit_button = gr.Button("Submit Eval")
-                submission_result = gr.Markdown()
-                submit_button.click(
-                    add_new_eval,
-                    inputs=[
-                        human_file,
-                        skempi_file,
-                        model_name_textbox,
-                        revision_name_textbox,
-                        benchmark_types,
-                        similarity_tasks,
-                        function_prediction_aspect,
-                        function_dataset,
-                        family_prediction_dataset,
-                        save_checkbox,
-                    ],
-                )
+            submit_button = gr.Button("Submit Eval")
+            submission_result = gr.Markdown()
+            submit_button.click(
+                add_new_eval,
+                inputs=[
+                    human_file,
+                    skempi_file,
+                    model_name_textbox,
+                    revision_name_textbox,
+                    benchmark_types,
+                    similarity_tasks,
+                    function_prediction_aspect,
+                    function_dataset,
+                    family_prediction_dataset,
+                    save_checkbox,
+                ],
+            )
 
     def refresh_data():
         value = get_baseline_df(method_names, metric_names)