Update app.py

app.py

@@ -772,6 +772,7 @@ with gr.Blocks(css=css_tech_theme) as demo:
             with gr.Row(elem_id="submission-fields"):
                 file_input = gr.File(label="📂 Upload Prediction CSV", file_types=[".csv"], interactive=True,scale=1, min_width=12000)
                 model_name_input = gr.Textbox(label="🏷️ Model Name", placeholder="Enter your model name",scale=1,  min_width=800)
+                Team_name_input = gr.Textbox(label="🏷️ Team Name", placeholder="Enter your Team name",scale=1,  min_width=800)
         
             with gr.Row(elem_id="submission-results"):
                 overall_accuracy_display = gr.Number(label="📊 Overall Accuracy (%)", interactive=False,scale=1,min_width=1200)
@@ -815,11 +816,13 @@ with gr.Blocks(css=css_tech_theme) as demo:
         #         # Handle unexpected errors
         #         return f"Error during evaluation: {str(e)}", 0, gr.update(visible=False)
 
-        def handle_evaluation(file, model_name):
+        def handle_evaluation(file, model_name, Team_name):
             if not file:
                 return "Error: Please upload a prediction file.", 0, gr.update(visible=False)
             if not model_name or model_name.strip() == "":
                 return "Error: Please enter a model name.", 0, gr.update(visible=False)
+            if not Team_name or Team_name.strip() == "":
+                return "Error: Please enter a Team name.", 0, gr.update(visible=False)    
         
             try:
                 # Load predictions file
@@ -861,21 +864,21 @@ with gr.Blocks(css=css_tech_theme) as demo:
 
 
         
-        def handle_submission(file, model_name):
+        def handle_submission(file, model_name,Team_name):
             # Handle leaderboard submission
-            status, _ = evaluate_predictions(file, model_name, add_to_leaderboard=True)
+            status, _ = evaluate_predictions(file, model_name,Team_name, add_to_leaderboard=True)
             return f"Submission to leaderboard completed: {status}"
         
         # Connect button clicks to the functions
         eval_button.click(
             handle_evaluation,
-            inputs=[file_input, model_name_input],
+            inputs=[file_input, model_name_input,Team_name_input],
             outputs=[eval_status, overall_accuracy_display, submit_button],
         )
         
         submit_button.click(
             handle_submission,
-            inputs=[file_input, model_name_input],
+            inputs=[file_input, model_name_input,Team_name_input],
             outputs=[eval_status],
         )