Fix tab structure in simplified_gradio_app.py

- Fix indentation for Standard Verification tab content
- All UI elements now properly nested inside their TabItem
- Resolves duplicate tabs issue in the interface
- Tabs now switch correctly between modes

src/interface/simplified_gradio_app.py

@@ -154,122 +154,122 @@ def create_simplified_interface():
                                 dataset editing, manual input testing, and batch file uploads.
                             </div>
                             """)
-                
-                gr.Markdown("# ✓ Verify Classifier Accuracy")
-                gr.Markdown("Review classified messages and provide feedback to improve the spiritual distress classifier.")
-                
-                # Dataset selector section
-                with gr.Row():
-                    with gr.Column(scale=2):
-                        gr.Markdown("## 📊 Select Dataset")
-                        dataset_selector = VerificationUIComponents.create_dataset_selector_component()
-                        load_dataset_btn = gr.Button("📥 Load Dataset", variant="primary", scale=1)
                     
-                    with gr.Column(scale=1):
-                        dataset_info = gr.Markdown(
-                            value="Select a dataset to begin verification",
-                            label="Dataset Info"
-                        )
-                
-                # Message review section - MUST be created outside with statement to control visibility
-                message_review_section = gr.Row(visible=False)
-                with message_review_section:
-                    with gr.Column(scale=2):
-                        # Progress display
-                        progress_display = VerificationUIComponents.create_progress_display()
-                        
-                        # Message review components
-                        message_text, decision_badge, confidence, indicators = VerificationUIComponents.create_message_review_component()
-                        
-                        # Feedback buttons
-                        with gr.Row():
-                            correct_btn, incorrect_btn = VerificationUIComponents.create_feedback_buttons()
-                        
-                        # Correction selector (initially hidden)
-                        correction_section = gr.Row(visible=False)
-                        with correction_section:
-                            correction_selector, notes_field = VerificationUIComponents.create_correction_selector()
-                        
-                        # Submit correction button
-                        submit_correction_row = gr.Row(visible=False)
-                        with submit_correction_row:
-                            submit_correction_btn = gr.Button("✓ Submit Correction", variant="primary", scale=2)
-                            cancel_correction_btn = gr.Button("✗ Cancel", scale=1)
-                        
-                        # Navigation buttons
-                        with gr.Row():
-                            prev_btn = gr.Button("⬅️ Previous", scale=1)
-                            skip_btn = gr.Button("⏭️ Skip", scale=1)
-                            next_btn = gr.Button("Next ➡️", scale=1)
-                        
-                        # Save results button - using DownloadButton for Hugging Face compatibility
-                        with gr.Row():
-                            save_results_btn = gr.DownloadButton("💾 Download Results (CSV)", variant="primary", scale=2)
-                            clear_session_btn = gr.Button("🗑️ Clear Session", scale=1)
+                    gr.Markdown("# ✓ Verify Classifier Accuracy")
+                    gr.Markdown("Review classified messages and provide feedback to improve the spiritual distress classifier.")
                     
-                    with gr.Column(scale=1):
-                        # Statistics panel
-                        correct_count_display, incorrect_count_display, accuracy_display = VerificationUIComponents.create_statistics_panel()
-                        
-                        # Breakdown by type
-                        breakdown_display = VerificationUIComponents.create_breakdown_by_type_component()
-                        
-                        # Summary card
-                        summary_card = VerificationUIComponents.create_summary_card_component()
-                
-                # Chaplain Feedback Section - for displaying classification flows and collecting feedback
-                chaplain_feedback_section = gr.Row(visible=False)
-                with chaplain_feedback_section:
-                    with gr.Column(scale=2):
-                        # Classification flow display
-                        flow_badge, flow_explanation, flow_content, flow_indicators = ChaplainFeedbackUIComponents.create_classification_flow_display()
-                        
-                        # Tagging interface - returns individual components
-                        (is_correct, subcategory, correct_classification, 
-                         question_issues, question_comments, 
-                         referral_issues, referral_comments, 
-                         indicator_issues, indicator_comments, general_notes) = ChaplainFeedbackUIComponents.create_tagging_interface()
+                    # Dataset selector section
+                    with gr.Row():
+                        with gr.Column(scale=2):
+                            gr.Markdown("## 📊 Select Dataset")
+                            dataset_selector = VerificationUIComponents.create_dataset_selector_component()
+                            load_dataset_btn = gr.Button("📥 Load Dataset", variant="primary", scale=1)
                         
-                        # Submit feedback button
-                        with gr.Row():
-                            submit_feedback_btn = gr.Button("✓ Submit Feedback", variant="primary", scale=2)
-                            skip_feedback_btn = gr.Button("⏭️ Skip Feedback", scale=1)
+                        with gr.Column(scale=1):
+                            dataset_info = gr.Markdown(
+                                value="Select a dataset to begin verification",
+                                label="Dataset Info"
+                            )
                     
-                    with gr.Column(scale=1):
-                        # Error pattern summary
-                        error_patterns, subcategory_breakdown, recommendations = ChaplainFeedbackUIComponents.create_error_pattern_summary()
-                
-                # Results section
-                with gr.Row(visible=False) as results_section:
-                    with gr.Column():
-                        gr.Markdown("## 📊 Verification Complete")
-                        
-                        results_summary = gr.Markdown(
-                            value="Session summary will appear here",
-                            label="Results Summary"
-                        )
+                    # Message review section - MUST be created outside with statement to control visibility
+                    message_review_section = gr.Row(visible=False)
+                    with message_review_section:
+                        with gr.Column(scale=2):
+                            # Progress display
+                            progress_display = VerificationUIComponents.create_progress_display()
+                            
+                            # Message review components
+                            message_text, decision_badge, confidence, indicators = VerificationUIComponents.create_message_review_component()
+                            
+                            # Feedback buttons
+                            with gr.Row():
+                                correct_btn, incorrect_btn = VerificationUIComponents.create_feedback_buttons()
+                            
+                            # Correction selector (initially hidden)
+                            correction_section = gr.Row(visible=False)
+                            with correction_section:
+                                correction_selector, notes_field = VerificationUIComponents.create_correction_selector()
+                            
+                            # Submit correction button
+                            submit_correction_row = gr.Row(visible=False)
+                            with submit_correction_row:
+                                submit_correction_btn = gr.Button("✓ Submit Correction", variant="primary", scale=2)
+                                cancel_correction_btn = gr.Button("✗ Cancel", scale=1)
+                            
+                            # Navigation buttons
+                            with gr.Row():
+                                prev_btn = gr.Button("⬅️ Previous", scale=1)
+                                skip_btn = gr.Button("⏭️ Skip", scale=1)
+                                next_btn = gr.Button("Next ➡️", scale=1)
+                            
+                            # Save results button - using DownloadButton for Hugging Face compatibility
+                            with gr.Row():
+                                save_results_btn = gr.DownloadButton("💾 Download Results (CSV)", variant="primary", scale=2)
+                                clear_session_btn = gr.Button("🗑️ Clear Session", scale=1)
                         
-                        with gr.Row():
-                            download_csv_btn = gr.Button("📥 Download Results (CSV)", variant="primary", scale=2)
-                            new_dataset_btn = gr.Button("📊 Load Another Dataset", scale=1)
+                        with gr.Column(scale=1):
+                            # Statistics panel
+                            correct_count_display, incorrect_count_display, accuracy_display = VerificationUIComponents.create_statistics_panel()
+                            
+                            # Breakdown by type
+                            breakdown_display = VerificationUIComponents.create_breakdown_by_type_component()
+                            
+                            # Summary card
+                            summary_card = VerificationUIComponents.create_summary_card_component()
+                    
+                    # Chaplain Feedback Section - for displaying classification flows and collecting feedback
+                    chaplain_feedback_section = gr.Row(visible=False)
+                    with chaplain_feedback_section:
+                        with gr.Column(scale=2):
+                            # Classification flow display
+                            flow_badge, flow_explanation, flow_content, flow_indicators = ChaplainFeedbackUIComponents.create_classification_flow_display()
+                            
+                            # Tagging interface - returns individual components
+                            (is_correct, subcategory, correct_classification, 
+                             question_issues, question_comments, 
+                             referral_issues, referral_comments, 
+                             indicator_issues, indicator_comments, general_notes) = ChaplainFeedbackUIComponents.create_tagging_interface()
+                            
+                            # Submit feedback button
+                            with gr.Row():
+                                submit_feedback_btn = gr.Button("✓ Submit Feedback", variant="primary", scale=2)
+                                skip_feedback_btn = gr.Button("⏭️ Skip Feedback", scale=1)
                         
-                        csv_download = gr.File(
-                            label="CSV Download",
-                            visible=False
-                        )
-                
-                # Error message display
-                error_message = gr.Markdown(
-                    value="",
-                    visible=True,
-                    label="Status"
-                )
-                
-                # Hidden state for tracking
-                current_message_index = gr.State(value=0)
-                current_dataset_id = gr.State(value=None)
-                message_queue = gr.State(value=[])
-                verification_records = gr.State(value=[])
+                        with gr.Column(scale=1):
+                            # Error pattern summary
+                            error_patterns, subcategory_breakdown, recommendations = ChaplainFeedbackUIComponents.create_error_pattern_summary()
+                    
+                    # Results section
+                    with gr.Row(visible=False) as results_section:
+                        with gr.Column():
+                            gr.Markdown("## 📊 Verification Complete")
+                            
+                            results_summary = gr.Markdown(
+                                value="Session summary will appear here",
+                                label="Results Summary"
+                            )
+                            
+                            with gr.Row():
+                                download_csv_btn = gr.Button("📥 Download Results (CSV)", variant="primary", scale=2)
+                                new_dataset_btn = gr.Button("📊 Load Another Dataset", scale=1)
+                            
+                            csv_download = gr.File(
+                                label="CSV Download",
+                                visible=False
+                            )
+                    
+                    # Error message display
+                    error_message = gr.Markdown(
+                        value="",
+                        visible=True,
+                        label="Status"
+                    )
+                    
+                    # Hidden state for tracking
+                    current_message_index = gr.State(value=0)
+                    current_dataset_id = gr.State(value=None)
+                    message_queue = gr.State(value=[])
+                    verification_records = gr.State(value=[])
             
             # Chat tab
             with gr.TabItem("💬 Chat", id="chat"):