Update app.py

app.py

@@ -18,15 +18,6 @@ from src.saving_utils import *
 from src.vis_utils import *
 from src.bin.PROBE import run_probe
 
-css = """
-#processing-modal, #completion-modal {
-    position: fixed;
-    top: 50%;
-    left: 50%;
-    transform: translate(-50%, -50%);
-    z-index: 1000;
-}
-"""
 
 def add_new_eval(
     human_file,
@@ -40,22 +31,23 @@ def add_new_eval(
     family_prediction_dataset,
     save,
 ):
-    processing_info = gr.Info("Your submission is being processed...", elem_id="processing-modal")
+    processing_info = gr.Info("Your submission is being processed...")
 
     representation_name = model_name_textbox if revision_name_textbox == '' else revision_name_textbox
 
     try:
         results = run_probe(benchmark_types, representation_name, human_file, skempi_file, similarity_tasks, function_prediction_aspect, function_prediction_dataset, family_prediction_dataset)
     except:
-        completion_info = gr.Info("Your submission has not been processed. Please check your representation files!", elem_id="completion-modal")
+        completion_info = gr.Error("Your submission has not been processed. Please check your representation files!")
+        return -1
 
     
     if save:
         save_results(representation_name, benchmark_types, results)
-        completion_info = gr.Info("Your submission has been processed and results are saved!", elem_id="completion-modal")
+        completion_info = gr.Info("Your submission has been processed and results are saved!")
 
     else:
-        completion_info = gr.Info("Your submission has been processed!", elem_id="completion-modal")
+        completion_info = gr.Info("Your submission has been processed!")
 
     return 0
 
@@ -82,7 +74,7 @@ def update_leaderboard(selected_methods, selected_metrics):
     updated_df = get_baseline_df(selected_methods, selected_metrics)
     return updated_df
                 
-block = gr.Blocks(css=css)
+block = gr.Blocks()
 
 with block:
     gr.Markdown(LEADERBOARD_INTRODUCTION)