Update app.py

app.py

@@ -213,18 +213,26 @@ with gr.Blocks(css=css_tech_theme) as demo:
 
         with gr.TabItem("📤 Submission"):
             with gr.Row():
-                file_input = gr.File(label="📂 Upload Prediction CSV", file_types=[".csv"], interactive=True)
-                model_name_input = gr.Textbox(label="🖋️ Model Name", placeholder="Enter your model name")
+                file_input = gr.File(label="Upload Prediction CSV", file_types=[".csv"], interactive=True)
+                model_name_input = gr.Textbox(label="Model Name", placeholder="Enter your model name")
 
             with gr.Row():
-                overall_accuracy_display = gr.Number(label="🏅 Overall Accuracy", interactive=False)
-                add_to_leaderboard_checkbox = gr.Checkbox(label="📊 Add to Leaderboard?", value=True)
+                overall_accuracy_display = gr.Number(label="Overall Accuracy", interactive=False)
+                add_to_leaderboard_checkbox = gr.Checkbox(label="Add to Leaderboard?", value=True)
 
-            eval_button = gr.Button("Evaluate", elem_id="evaluate-button")
-            eval_status = gr.Textbox(label="📢 Evaluation Status", interactive=False)
+            eval_button = gr.Button("Evaluate")
+            eval_status = gr.Textbox(label="Evaluation Status", interactive=False)
+
+            def handle_evaluation(file, model_name, add_to_leaderboard):
+                status, leaderboard = evaluate_predictions(file, model_name, add_to_leaderboard)
+                if leaderboard.empty:
+                    overall_accuracy = 0
+                else:
+                    overall_accuracy = leaderboard.iloc[-1]["Overall Accuracy"]
+                return status, overall_accuracy
 
             eval_button.click(
-                evaluate_predictions,
+                handle_evaluation,
                 inputs=[file_input, model_name_input, add_to_leaderboard_checkbox],
                 outputs=[eval_status, overall_accuracy_display],
             )
@@ -243,6 +251,6 @@ with gr.Blocks(css=css_tech_theme) as demo:
                 outputs=[leaderboard_table],
             )
 
-    gr.Markdown(f"**Last updated:** {LAST_UPDATED}")
+    gr.Markdown(f"Last updated on **{LAST_UPDATED}**")
 
-demo.launch()
+demo.launch()