Update app.py

app.py

@@ -408,15 +408,15 @@ with gr.Blocks(css=css_tech_theme) as demo:
             <div class="submission-section">
             <h2>Submit Your Predictions</h2>
             <p>Upload your prediction file and provide your model name to evaluate and submit to the leaderboard.</p> </div>"""):
-            with gr.Row(elem_id="submission-fields"):
-                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(elem_id="submission-results"):
-                overall_accuracy_display = gr.Number(label="Overall Accuracy", interactive=False)
-            with gr.Row(elem_id="submission-buttons"):
-                eval_button = gr.Button("Evaluate")
-                submit_button = gr.Button("Prove and Submit to Leaderboard", visible=False)
-                eval_status = gr.Textbox(label="Evaluation Status", interactive=False)
+                with gr.Row(elem_id="submission-fields"):
+                    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(elem_id="submission-results"):
+                    overall_accuracy_display = gr.Number(label="Overall Accuracy", interactive=False)
+                with gr.Row(elem_id="submission-buttons"):
+                    eval_button = gr.Button("Evaluate")
+                    submit_button = gr.Button("Prove and Submit to Leaderboard", visible=False)
+                    eval_status = gr.Textbox(label="Evaluation Status", interactive=False)
             def handle_evaluation(file, model_name):
                 # Check if required inputs are provided
                 if not file:
@@ -429,22 +429,22 @@ with gr.Blocks(css=css_tech_theme) as demo:
                     overall_accuracy = 0
                 else:
                     overall_accuracy = leaderboard.iloc[-1]["Overall Accuracy"]
-        # Show the submit button after evaluation
-        return status, overall_accuracy, gr.update(visible=True)
-    def handle_submission(file, model_name):
-        # Handle leaderboard submission
-        status, _ = evaluate_predictions(file, model_name, add_to_leaderboard=True)
-        return f"Submission to leaderboard completed: {status}"
-    eval_button.click(
-        handle_evaluation,
-        inputs=[file_input, model_name_input],
-        outputs=[eval_status, overall_accuracy_display, submit_button],
-    )
-    submit_button.click(
-        handle_submission,
-        inputs=[file_input, model_name_input],
-        outputs=[eval_status],
-    )
+                    # Show the submit button after evaluation
+                return status, overall_accuracy, gr.update(visible=True)
+            def handle_submission(file, model_name):
+                # Handle leaderboard submission
+                status, _ = evaluate_predictions(file, model_name, add_to_leaderboard=True)
+                return f"Submission to leaderboard completed: {status}"
+            eval_button.click(
+                handle_evaluation,
+                inputs=[file_input, model_name_input],
+                outputs=[eval_status, overall_accuracy_display, submit_button],
+            )
+            submit_button.click(
+                handle_submission,
+                inputs=[file_input, model_name_input],
+                outputs=[eval_status],
+            )