app fix of fallback to previous df state

app.py

@@ -1,5 +1,4 @@
 import os
-from pathlib import Path
 
 import gradio as gr
 from gradio_modal import Modal
@@ -26,13 +25,13 @@ def update_datasets(task):
 
 def submit_model(task, datasets, hyp_file, submitted_by, model_id, token):
     if not hyp_file:
-        return gr.update(visible=True, value="⚠️ Please upload a hypothesis file."), gr.update(), gr.update(selected=1)
+        return gr.update(visible=True, value="⚠️ Please upload a hypothesis file.")
 
     if not submitted_by.strip() or not model_id.strip() or not token.strip():
-        return gr.update(visible=True, value="⚠️ All fields are required."), gr.update(), gr.update(selected=1)
+        return gr.update(visible=True, value="⚠️ All fields are required.")
 
     if token.strip() != EXPECTED_TOKEN:
-        return gr.update(visible=True, value="❌ Invalid submission token."), gr.update(), gr.update(selected=1)
+        return gr.update(visible=True, value="❌ Invalid submission token.")
 
     metadata = {
         "submitted_by": submitted_by.strip(),
@@ -45,17 +44,17 @@ def submit_model(task, datasets, hyp_file, submitted_by, model_id, token):
             (leaderboard_df["Model ID"] == model_id.strip())
         ]
         if not existing.empty:
-            return gr.update(value="❌ A submission with this name and model ID already exists.", visible=True), \
-                gr.update(), gr.update(selected=1), gr.update(visible=False)
+            return gr.update(value="❌ A submission with this name and model ID already exists.", visible=True)
 
     try:
         server.prepare_model_for_submission(hyp_file.name, metadata, task, datasets)
         server.update_leaderboard()
-        leaderboard_df = server.get_leaderboard()
-        return gr.update(visible=True, value="✅ Submission successful!"), leaderboard_df, gr.update(selected=0)
+        return gr.update(visible=True, value="✅ Submission successful!")
     except Exception as e:
-        return gr.update(visible=True, value=f"❌ Error: {str(e)}"), gr.update(), gr.update(selected=1)
+        return gr.update(visible=True, value=f"❌ Error: {str(e)}")
 
+def get_leaderboard_df():
+    return server.get_leaderboard()
 
 # Gradio UI
 with gr.Blocks() as demo:
@@ -65,7 +64,7 @@ with gr.Blocks() as demo:
         with gr.Tab("📈 Leaderboard"):
             gr.Markdown(LEADERBOARD_TAB_TITLE_MARKDOWN)
             leaderboard_output = gr.Dataframe(
-                value=server.get_leaderboard(),
+                value=get_leaderboard_df,
                 interactive=False,
                 label="Leaderboard"
             )
@@ -88,9 +87,6 @@ with gr.Blocks() as demo:
             with Modal("Submission Feedback", visible=False) as loading_msg:
                 feedback_text = gr.Text(visible=True, label="⏳ Processing your submission...")
 
-            with Modal("Submission Feedback", visible=False) as modal:
-                feedback_text = gr.Text(visible=True, label="")
-
             submit_btn.click(
                 lambda: gr.update(visible=True),  # Show loading
                 outputs=loading_msg
@@ -98,27 +94,11 @@ with gr.Blocks() as demo:
                 fn=submit_model,
                 inputs=[task_dropdown, dataset_checkboxes, hyp_file_upload, submitted_by_input, model_id_input,
                         token_input],
-                outputs=[feedback_text, leaderboard_output, tabs],
-                show_progress=True
-            ).then(
-                lambda: gr.update(visible=False),
-                outputs=loading_msg
+                outputs=[feedback_text],
             ).then(
-                lambda: gr.update(visible=True),
-                outputs=modal
+                lambda: server.get_leaderboard(),  # Show loading
+                outputs=leaderboard_output
             )
-            # submit_btn.click(
-            #     fn=submit_model,
-            #     inputs=[
-            #         task_dropdown, dataset_checkboxes, hyp_file_upload,
-            #         submitted_by_input, model_id_input, token_input
-            #     ],
-            #     outputs=[feedback_text, leaderboard_output, tabs],
-            #     show_progress=True
-            # ).then(
-            #     lambda: gr.update(visible=True),
-            #     outputs=modal
-            # )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()