Implement Or_4.txt feedback: Provider Summary as final exchange, simplified interface improvements

- Provider Summary now appears as final exchange in Conversation Verification
- Added 'To patient:' and 'To spiritual care team:' addressee labels
- Provider Summary uses narrative format from LLM (format_coherent_paragraph)
- Created simplified_chat_handlers.py for simplified interface logic
- Added simplified_help_content.py with detailed instructions
- Removed Download JSON button, kept only CSV export
- Added Model Settings, Edit Prompts, and Patient Profiles tabs back
- Updated verification_handlers.py to use coherent narrative format
- Created response documents (Or_4_Response.txt, Or_4_Response_EN.md, Or_4_Response_UA.md)
- All changes based on customer feedback from review/Or_4.txt

.gitignore

@@ -122,3 +122,4 @@ src/core/verification_store.py
 manual_tests/test_vertex_auth.py
 
 review/
+verification_reports/

README.md

@@ -1,5 +1,5 @@
 ---
-title: Medical Assistant with Spiritual Support v.2.3.1
+title: Medical Assistant with Spiritual Support v.2.3.2
 emoji: 🩺
 colorFrom: blue
 colorTo: green
@@ -17,6 +17,30 @@ This system provides seamless medical assistance while intelligently detecting a
 
 ## ⚡ Quick Start
 
+### 🎯 Two Interface Options
+
+The project now offers **two interfaces** to suit different needs:
+
+#### 1. **Simplified Interface** (Recommended for Testing Team)
+- ✅ Provider Summary as **final exchange** in verification
+- ✅ **Auto-save** reports with single button
+- ✅ Streamlined UI focused on testing
+
+```bash
+python run_simplified_interface.py
+# http://localhost:7861
+```
+
+📖 **Quick Guide:** See `QUICK_START_SIMPLIFIED.md` or `QUICK_START_SIMPLIFIED_EN.md`
+
+#### 2. **Full Interface** (For Development & Configuration)
+Complete feature set with all advanced options:
+
+```bash
+python app.py
+# http://localhost:7860
+```
+
 ### Local Setup
 
 **🏥 Medical Assistant + 🕊️ Spiritual Support + 🔧 Prompt Optimization**
@@ -34,13 +58,27 @@ source .venv/bin/activate
 pip install -r requirements.txt
 
 # 3. Run Application
-python src/interface/simplified_gradio_app.py
+# Simplified Interface (for testing):
+python run_simplified_interface.py
 
-# 4. Open in Browser
-# http://localhost:7860
+# OR Full Interface (for development):
+python app.py
 ```
 
-**Main Interface Tabs:**
+### Interface Comparison
+
+| Feature | Simplified | Full |
+|---------|-----------|------|
+| Chat & Verification | ✅ | ✅ |
+| Provider Summary as Final Exchange | ✅ | ❌ |
+| Auto-Save Reports | ✅ | ❌ |
+| Model Settings | ❌ | ✅ |
+| Edit Prompts | ❌ | ✅ |
+| Patient Profiles | ❌ | ✅ |
+
+📊 **Full Comparison:** See `COMPARISON.md`
+
+**Main Interface Tabs (Full):**
 - 💬 **Chat** — Primary medical conversation with automatic spiritual monitoring
 - 🧾 **Conversation Verification** — Review and export chat-derived verification sessions
 - 🔍 **Enhanced Verification** — Manual input and file upload workflows for structured testing
@@ -49,6 +87,11 @@ python src/interface/simplified_gradio_app.py
 - 👥 **Patient Profiles** — Predefined patient scenarios for testing
 - 📖 **Help** — Comprehensive user guide
 
+**Main Interface Tabs (Simplified):**
+- 💬 **Chat** — Test conversations with medical assistant
+- 🧾 **Conversation Verification** — Review exchanges with Provider Summary as final step
+- 📖 **Help** — User guide and documentation
+
 ---
 
 ## 🎯 System Architecture
@@ -151,7 +194,7 @@ Centralized prompt optimization with session-level overrides.
 
 ### 6. 🎨 Enhanced Gradio Interface
 Comprehensive web interface with all features integrated.
-**File:** `src/interface/simplified_gradio_app.py`
+**File:** `src/interface/gradio_app.py`
 
 ---
 
@@ -175,7 +218,7 @@ Comprehensive web interface with all features integrated.
 │   │   ├── prompts/                       # Prompt files
 │   │   └── ai_providers_config.py         # Model configurations
 │   └── interface/
-│       ├── simplified_gradio_app.py       # Main web interface
+│       ├── gradio_app.py       # Main web interface
 │       └── enhanced_prompt_editor.py      # 🆕 Prompt editing UI
 │
 ├── tests/                                 # 🆕 Organized test structure
@@ -398,7 +441,7 @@ python run_tests.py
 
 4. **Start Application:**
 ```bash
-python src/interface/simplified_gradio_app.py
+python src/interface/gradio_app.py
 ```
 
 5. **Access Interface:**

app.py

@@ -11,7 +11,7 @@ import sys
 sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
 
 # Import and run the main application
-from src.interface.simplified_gradio_app import main
+from src.interface.gradio_app import main
 
 if __name__ == "__main__":
     main()

manual_tests/test_patient_context_in_message.py

@@ -10,7 +10,7 @@ import os
 project_root = os.path.dirname(os.path.abspath(__file__))
 sys.path.insert(0, project_root)
 
-from src.interface.simplified_gradio_app import SimplifiedSessionData
+from src.interface.gradio_app import SimplifiedSessionData
 
 print("=" * 80)
 print("PATIENT CONTEXT IN SPIRITUAL CARE MESSAGE TEST")

run.sh

@@ -16,4 +16,4 @@ echo "🚀 Starting Medical Assistant with Spiritual Support..."
 echo "📍 Server: http://localhost:7861"
 echo ""
 
-GRADIO_SERVER_PORT=7861 python src/interface/simplified_gradio_app.py
+GRADIO_SERVER_PORT=7861 python src/interface/gradio_app.py

run_simplified_app.py

@@ -15,7 +15,7 @@ import sys
 # Add project root to path
 sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
 
-from src.interface.simplified_gradio_app import main
+from src.interface.gradio_app import main
 
 if __name__ == "__main__":
     main()

run_simplified_interface.py

@@ -0,0 +1,38 @@
+#!/usr/bin/env python3
+"""
+Launch script for simplified Gradio interface.
+
+Based on customer feedback from Or_4.txt:
+- Provider Summary as final exchange in Conversation Verification
+- Simplified auto-save functionality
+- Streamlined interface for testing team
+
+Usage:
+    python run_simplified_interface.py
+"""
+
+import sys
+import os
+
+# Ensure project root is in path
+project_root = os.path.dirname(os.path.abspath(__file__))
+if project_root not in sys.path:
+    sys.path.insert(0, project_root)
+
+from src.interface.simplified_gradio_app import main
+
+if __name__ == "__main__":
+    print("=" * 60)
+    print("🚀 Launching Simplified Medical Assistant Interface")
+    print("=" * 60)
+    print()
+    print()
+    print("Key Features:")
+    print("  ✅ Provider Summary as final exchange")
+    print("  ✅ Auto-save verification reports")
+    print("  ✅ Streamlined interface")
+    print()
+    print("=" * 60)
+    print()
+    
+    main()

src/interface/gradio_app.py

@@ -0,0 +1,839 @@
+# gradio_app.py
+"""
+Simplified Gradio Interface for Medical Brain with Background Spiritual Monitoring.
+
+Single unified medical interface with invisible spiritual monitoring.
+No mode selector - just medical dialog with automatic spiritual support.
+
+Requirements: 1.3, 4.1, 4.2, 12.1, 12.2
+"""
+
+import os
+import sys
+
+# Ensure project root is in Python path
+project_root = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+if project_root not in sys.path:
+    sys.path.insert(0, project_root)
+
+from dotenv import load_dotenv
+
+# Load environment variables
+load_dotenv()
+
+import gradio as gr
+
+# Import modularized components
+from src.interface.session_manager import SimplifiedSessionData
+from src.interface import stats_handlers
+from src.interface import chat_handlers
+from src.interface import prompt_handlers
+from src.interface import verification_handlers
+from src.interface import profile_handlers
+from src.interface import model_handlers
+
+from src.core.simplified_medical_app import SimplifiedMedicalApp
+from src.core.spiritual_state import SpiritualState
+from src.interface.enhanced_verification_interface import create_enhanced_verification_tab
+from src.interface.help_content import HELP_CONTENT
+
+try:
+    from app_config import (
+        GRADIO_CONFIG, 
+        ENHANCED_VERIFICATION_CONFIG,
+        FEATURE_FLAGS,
+        is_feature_enabled
+    )
+except ImportError:
+    GRADIO_CONFIG = {"theme": "soft", "show_api": False}
+    ENHANCED_VERIFICATION_CONFIG = {"enabled": True}
+    FEATURE_FLAGS = {
+        "enhanced_verification_enabled": True,
+        "standard_verification_enabled": True,
+        "show_mode_navigation_hints": True,
+    }
+    def is_feature_enabled(feature_name: str) -> bool:
+        return FEATURE_FLAGS.get(feature_name, False)
+
+
+
+
+
+def create_simplified_interface():
+    """
+    Create simplified Gradio interface.
+    
+    Single medical assistant interface with background spiritual monitoring.
+    No mode selector - spiritual support is automatic and invisible.
+    
+    Requirements: 1.3, 4.1, 12.1
+    """
+    
+    debug_mode = os.getenv("LOG_PROMPTS", "false").lower() == "true"
+    
+    # Theme setup
+    theme_name = GRADIO_CONFIG.get("theme", "soft")
+    if theme_name.lower() == "soft":
+        theme = gr.themes.Soft()
+    else:
+        theme = gr.themes.Default()
+    
+    demo = gr.Blocks(
+        title="🏥 Medical Assistant with Spiritual Support",
+        analytics_enabled=False
+    )
+    demo.theme = theme
+    
+    with demo:
+        # Session state
+        session_data = gr.State(value=None)
+        
+        # Header
+        gr.Markdown("# 🏥 Medical Assistant with Spiritual Support 🕊️")
+        gr.Markdown("Your personal healthcare companion with integrated wellness support")
+        
+        if debug_mode:
+            gr.Markdown("⚠️ **DEBUG MODE:** Prompts and responses are logged")
+        
+        # Session info
+        session_info = gr.Markdown("🔄 **Initializing session...**")
+        
+        # Initialize session
+        def initialize_session():
+            """Initialize new user session."""
+            new_session = SimplifiedSessionData()
+            session_info_text = f"""
+✅ **Session Ready**
+🆔 Session: `{new_session.session_id[:8]}...`
+🕒 Started: {new_session.created_at[:19]}
+"""
+            return new_session, session_info_text
+        
+        # Main interface - using Tabs with elem_id for navigation
+        main_tabs = gr.Tabs(elem_id="main_tabs")
+        with main_tabs:
+            # Note: The following tabs are intentionally hidden for now:
+            # - ✏️ Edit Enhanced Datasets
+            # - ✓ Standard Verification
+            # We keep the rest of the interface focused on Chat + Conversation Verification.
+            
+            # Chat tab
+            with gr.TabItem("💬 Chat", id="chat"):
+                with gr.Row():
+                    with gr.Column(scale=2):
+                        chatbot = gr.Chatbot(
+                            label="💬 Conversation",
+                            height=450
+                        )
+                        
+                        with gr.Row():
+                            msg = gr.Textbox(
+                                label="Your message",
+                                placeholder="Type your health question...",
+                                scale=4
+                            )
+                            send_btn = gr.Button("📤 Send", scale=1, variant="primary")
+                        
+                        with gr.Row():
+                            clear_btn = gr.Button("🗑️ Clear Chat", scale=1)
+                        
+                        # Conversation logging section
+                        gr.Markdown("### 📊 Conversation Logs:")
+                        with gr.Row():
+                            download_json_btn = gr.DownloadButton("📥 Download JSON", scale=1, size="sm")
+                            download_csv_btn = gr.DownloadButton("📊 Download CSV", scale=1, size="sm")
+
+                        # Conversation verification is available in the dedicated
+                        # "🧾 Conversation Verification" tab.
+                        
+                        # Quick examples
+                        gr.Markdown("### ⚡ Quick Start:")
+                        with gr.Row():
+                            example_medical = gr.Button("🟢 I am fine", size="sm")
+                            example_wellness = gr.Button("🟡 I'm feeling stressed", size="sm")
+                            example_help = gr.Button("🔴 Emotional crisis", size="sm")
+                    
+                    with gr.Column(scale=1):
+                        status_box = gr.Markdown(
+                            value="🔄 Loading...",
+                            label="📊 Status"
+                        )
+                        
+                        refresh_btn = gr.Button("🔄 Check Status & Summary", size="sm")
+                        
+                        # Conversation statistics
+                        gr.Markdown("### 📈 Conversation Stats")
+                        conversation_stats = gr.Markdown(
+                            value="No conversation yet",
+                            label="Statistics"
+                        )
+                        
+                        # Debug info (only in debug mode)
+                        if debug_mode:
+                            gr.Markdown("### 🔧 Debug Info")
+                            debug_info = gr.Markdown(value="")
+                    
+                    # Provider Summary Panel (for RED flags) - always visible but content controlled
+                    with gr.Column(scale=1) as provider_summary_column:
+                        with gr.Group(visible=False) as provider_summary_content:
+                            gr.Markdown("### 📋 Provider Summary")
+                            gr.Markdown("*For Spiritual Care Team*", elem_classes=["provider-subtitle"])
+                            
+                            provider_summary_status = gr.Markdown(
+                                value="**Provider Summary Generated**\n\nA detailed summary has been generated for the spiritual care team. Use the Download button below to access the full summary."
+                            )
+                            
+                            # Tabs for different summary views (Medical Brain Summary first by default)
+                            with gr.Tabs():
+                                # Coherent Paragraph Tab (FIRST - Requirements 2.1-2.8) - Medical Brain compatibility
+                                with gr.TabItem("📝 Medical Brain Summary"):
+                                    gr.Markdown("*Single paragraph format for Medical Brain compatibility - **Default View***")
+                                    coherent_summary_display = gr.Textbox(
+                                        value="",
+                                        lines=8,
+                                        label="Medical Brain Compatible Summary",
+                                        interactive=False
+                                    )
+                                    with gr.Row():
+                                        regenerate_coherent_btn = gr.Button(
+                                            "🔄 Regenerate Medical Brain Summary",
+                                            size="sm",
+                                            variant="secondary"
+                                        )
+                                        download_coherent_btn = gr.DownloadButton(
+                                            "📥 Download Medical Brain Summary",
+                                            size="sm",
+                                            variant="secondary"
+                                        )
+                                
+                                # Structured Summary Tab (moved to second position)
+                                with gr.TabItem("📊 Structured Summary"):
+                                    provider_summary_display = gr.HTML(value="")
+                            
+                            with gr.Row():
+                                download_summary_btn = gr.DownloadButton(
+                                    "📥 Download Full Summary", 
+                                    size="sm",
+                                    variant="secondary"
+                                )
+                                clear_summary_btn = gr.Button(
+                                    "🗑️ Clear", 
+                                    size="sm"
+                                )
+
+            # Conversation Verification tab (chat-derived)
+            with gr.TabItem("🧾 Conversation Verification", id="conversation_verification"):
+                gr.Markdown("## 🧾 Conversation Verification (from Chat)")
+                gr.Markdown(
+                    "Click **Generate** to build a verification session from the current chat. "
+                    "Review each exchange, mark it correct/incorrect, and download the session JSON."
+                )
+
+                conv_verify_state = gr.State(value=None)  # holds exported JSON path
+                conv_verify_index = gr.State(value=0)
+                conv_verify_records = gr.State(value=[])
+
+                with gr.Row():
+                    generate_conv_verification_btn = gr.Button("🛠 Generate from current chat", variant="primary")
+                    conv_verify_download_btn = gr.DownloadButton("⬇️ Download reviewed JSON", variant="secondary")
+                    conv_verify_download_csv_btn = gr.DownloadButton("📄 Download CSV", variant="secondary")
+
+                conv_verify_status = gr.Markdown(value="", visible=True)
+                conv_verify_exchange = gr.HTML(value="", label="Current Exchange")
+
+                with gr.Row():
+                    conv_correct_btn = gr.Button("✅ Correct", variant="primary")
+                    conv_incorrect_btn = gr.Button("❌ Incorrect")
+                    conv_prev_btn = gr.Button("⬅️ Previous")
+                    conv_next_btn = gr.Button("Next ➡️")
+
+                # Shown only when marking Incorrect
+                with gr.Row(visible=False) as conv_incorrect_comment_row:
+                    with gr.Column(scale=3):
+                        gr.Markdown("### Select Correct Classification:")
+                        conv_correct_classification = gr.Radio(
+                            choices=[
+                                "🟢 Should be GREEN - No distress",
+                                "🟡 Should be YELLOW - Needs clarification", 
+                                "🔴 Should be RED - Spiritual distress"
+                            ],
+                            label="Correct Classification",
+                            interactive=True
+                        )
+                        conv_incorrect_comment = gr.Textbox(
+                            label="Comment (why incorrect / what to fix)",
+                            placeholder="Add a short note for this exchange...",
+                            lines=3,
+                        )
+                    with gr.Column(scale=1):
+                        conv_save_comment_btn = gr.Button("💾 Save comment", variant="secondary")
+
+                with gr.Row():
+                    with gr.Column(scale=1):
+                        conv_position = gr.Markdown(value="")
+                    with gr.Column(scale=1):
+                        conv_stats = gr.HTML(value="")
+
+            # Enhanced Verification Modes tab (hidden sub-tabs; kept but moved after Conversation Verification)
+            if is_feature_enabled("enhanced_verification_enabled"):
+                with gr.TabItem("🔍 Enhanced Verification", id="enhanced_verification"):
+                    enhanced_verification_interface = create_enhanced_verification_tab()
+            
+            # Model Selection tab (second tab)
+            with gr.TabItem("⚙️ Model Settings", id="model_settings"):
+                gr.Markdown("## ⚙️ AI Model Configuration")
+                gr.Markdown("Select which AI models to use for different tasks. Changes apply to your current session.")
+                
+                with gr.Row():
+                    with gr.Column():
+                        gr.Markdown("### 🔍 Spiritual Monitor (Classifier)")
+                        spiritual_model = gr.Dropdown(
+                            choices=[
+                                "gemini-2.5-flash",
+                                "gemini-2.0-flash",
+                                "gemini-3-flash-preview",
+                                "claude-sonnet-4-5-20250929",
+                                "claude-sonnet-4-20250514",
+                                "claude-3-7-sonnet-20250219"
+                            ],
+                            value="gemini-2.5-flash",
+                            label="Spiritual Distress Analyzer",
+                            interactive=True
+                        )
+                        
+                        gr.Markdown("### 🟡 Soft Spiritual Triage")
+                        soft_spiritual_triage_model = gr.Dropdown(
+                            choices=[
+                                "claude-sonnet-4-5-20250929",
+                                "claude-sonnet-4-20250514",
+                                "claude-3-7-sonnet-20250219",
+                                "gemini-2.5-flash",
+                                "gemini-2.0-flash",
+                                "gemini-3-flash-preview"
+                            ],
+                            value="claude-sonnet-4-5-20250929",
+                            label="Soft Spiritual Triage",
+                            interactive=True
+                        )
+                    
+                    with gr.Column():
+                        gr.Markdown("### 📊 Triage Response Evaluator")
+                        triage_evaluate_model = gr.Dropdown(
+                            choices=[
+                                "gemini-2.5-flash",
+                                "gemini-2.0-flash",
+                                "gemini-3-flash-preview",
+                                "claude-sonnet-4-5-20250929",
+                                "claude-sonnet-4-20250514",
+                                "claude-3-7-sonnet-20250219"
+                            ],
+                            value="gemini-2.5-flash",
+                            label="Triage Response Evaluator",
+                            interactive=True
+                        )
+                        
+                        gr.Markdown("### 🏥 Medical Assistant")
+                        medical_model = gr.Dropdown(
+                            choices=[
+                                "claude-sonnet-4-5-20250929",
+                                "claude-sonnet-4-20250514",
+                                "claude-3-7-sonnet-20250219",
+                                "gemini-2.5-flash",
+                                "gemini-2.0-flash",
+                                "gemini-3-flash-preview"
+                            ],
+                            value="claude-sonnet-4-5-20250929",
+                            label="Medical Assistant",
+                            interactive=True
+                        )
+                    
+                    with gr.Column():
+                        gr.Markdown("### 🩺 Soft Medical Triage")
+                        soft_triage_model = gr.Dropdown(
+                            choices=[
+                                "claude-sonnet-4-5-20250929",
+                                "claude-sonnet-4-20250514",
+                                "claude-3-7-sonnet-20250219",
+                                "gemini-2.5-flash",
+                                "gemini-2.0-flash",
+                                "gemini-3-flash-preview"
+                            ],
+                            value="claude-sonnet-4-5-20250929",
+                            label="Soft Medical Triage",
+                            interactive=True
+                        )
+                        
+                        gr.Markdown("### 💬 Medical Brain Summary Generator")
+                        spiritual_care_message_model = gr.Dropdown(
+                            choices=[
+                                "claude-sonnet-4-5-20250929",
+                                "claude-sonnet-4-20250514",
+                                "claude-3-7-sonnet-20250219",
+                                "gemini-2.5-flash",
+                                "gemini-2.0-flash",
+                                "gemini-3-flash-preview"
+                            ],
+                            value="claude-sonnet-4-5-20250929",
+                            label="Medical Brain Summary Generator (uses Spiritual Care Message prompt)",
+                            interactive=True
+                        )
+                
+                with gr.Row():
+                    apply_models_btn = gr.Button("✅ Apply Model Settings", variant="primary", scale=2)
+                    reset_models_btn = gr.Button("🔄 Reset to Defaults", scale=1)
+                
+                model_status = gr.HTML(value="", visible=True)
+            
+            # Edit Prompts tab
+            with gr.TabItem("🔧 Edit Prompts", id="edit_prompts"):
+                gr.Markdown("## 🔧 Customize AI Prompts")
+                gr.Markdown("⚠️ **Note:** Changes apply only to your current session.")
+                
+                # Prompt selector
+                with gr.Row():
+                    prompt_selector = gr.Dropdown(
+                        choices=[
+                            "🔍 Spiritual Monitor (Classifier)",
+                            "🟡 Soft Spiritual Triage",
+                            "📊 Triage Response Evaluator",
+                            "🏥 Medical Assistant",
+                            "🩺 Soft Medical Triage",
+                            "💬 Spiritual Care Message"
+                        ],
+                        value="🔍 Spiritual Monitor (Classifier)",
+                        label="Select Prompt to Edit",
+                        interactive=True
+                    )
+                
+                with gr.Row():
+                    with gr.Column(scale=3):
+                        # Prompt editor
+                        prompt_editor = gr.Code(
+                            label="System Prompt",
+                            value="",
+                            language="markdown",
+                            lines=25,
+                            interactive=True
+                        )
+                        
+                        with gr.Row():
+                            load_prompt_btn = gr.Button("📥 Load Prompt", scale=1)
+                            apply_prompt_btn = gr.Button("✅ Apply Changes", variant="primary", scale=2)
+                            reset_prompt_btn = gr.Button("🔄 Reset to Default", variant="secondary", scale=1)
+                        
+                        with gr.Row():
+                            promote_prompt_btn = gr.Button("📤 Promote to File", variant="stop", scale=1)
+                            validate_prompt_btn = gr.Button("🔍 Validate", variant="secondary", scale=1)
+                        
+                        prompt_status = gr.HTML(
+                            value="", 
+                            visible=True,
+                            elem_classes=["prompt-status-container"]
+                        )
+                    
+                    with gr.Column(scale=1):
+                        gr.Markdown("### 📋 Prompt Info")
+                        prompt_info_display = gr.HTML(value="""
+<div style="font-family: system-ui; padding: 1em; background-color: #f9fafb; border-radius: 8px;">
+<p><strong>Select a prompt to edit</strong></p>
+
+<p><strong>Available prompts:</strong></p>
+<ul style="margin-left: 1em;">
+<li>🔍 Spiritual Monitor</li>
+<li>🟡 Triage Questions</li>
+<li>📊 Triage Evaluation</li>
+<li>🏥 Medical Assistant</li>
+<li>🩺 Soft Triage</li>
+<li>💬 Spiritual Care Message (used for Medical Brain Summary)</li>
+</ul>
+
+<p><strong>Tips:</strong></p>
+<ul style="margin-left: 1em;">
+<li>Load prompt first</li>
+<li>Edit carefully</li>
+<li>Test changes</li>
+<li>Reset if needed</li>
+</ul>
+</div>
+                        """)
+            
+            # Patient Profiles tab
+            with gr.TabItem("👥 Patient Profiles", id="profiles"):
+                gr.Markdown("## 👥 Patient Profile Management")
+                gr.Markdown("Select a predefined profile or customize the current patient settings.")
+                
+                with gr.Row():
+                    with gr.Column(scale=1):
+                        gr.Markdown("### 📋 Predefined Profiles")
+                        profile_selector = gr.Dropdown(
+                            choices=[
+                                "👤 Default Profile (Serhii)",
+                                "🟢 GREEN - Healthy Coping",
+                                "🟡 YELLOW - Mild Distress",
+                                "🟡 YELLOW - Grief & Loss",
+                                "🟡 YELLOW - Existential Questions",
+                                "🟡 YELLOW - Spiritual Disconnection",
+                                "🔴 RED - Crisis (Suicidal Risk)",
+                                "🔴 RED - Severe Hopelessness",
+                                "🔴 RED - Spiritual Crisis",
+                                "🫀 Cardiac Patient (Rehabilitation)",
+                                "🩸 Diabetic Patient (Management)",
+                                "🏥 Post-Surgery (Recovery)",
+                                "🧠 Mental Health (Anxiety/Depression)",
+                                "👴 Elderly Patient (Chronic Care)",
+                                "🏃 Athletic Patient (Injury/Training)"
+                            ],
+                            value="👤 Default Profile (Serhii)",
+                            label="Select Profile",
+                            interactive=True
+                        )
+                        
+                        load_profile_btn = gr.Button("📥 Load Profile", variant="primary")
+                        profile_status = gr.HTML(value="", visible=True)
+                    
+                    with gr.Column(scale=2):
+                        gr.Markdown("### ⚙️ Current Patient Settings")
+                        
+                        with gr.Row():
+                            patient_name = gr.Textbox(
+                                label="Patient Name",
+                                value="Serhii",
+                                interactive=True
+                            )
+                            patient_phone = gr.Textbox(
+                                label="Phone Number",
+                                value="",
+                                placeholder="(555) 123-4567",
+                                interactive=True
+                            )
+                            patient_age = gr.Number(
+                                label="Age",
+                                value=52,
+                                interactive=True
+                            )
+                        
+                        with gr.Row():
+                            conditions = gr.Textbox(
+                                label="Medical Conditions (comma-separated)",
+                                value="Atrial fibrillation, Deep vein thrombosis, Obesity, Hypertension",
+                                lines=3,
+                                interactive=True
+                            )
+                        
+                        with gr.Row():
+                            primary_goal = gr.Textbox(
+                                label="Primary Goal",
+                                value="Weight reduction and cardiovascular fitness improvement",
+                                lines=2,
+                                interactive=True
+                            )
+                        
+                        with gr.Row():
+                            exercise_prefs = gr.Textbox(
+                                label="Exercise Preferences (comma-separated)",
+                                value="Swimming, Walking, Light cardio",
+                                lines=2,
+                                interactive=True
+                            )
+                        
+                        with gr.Row():
+                            exercise_limits = gr.Textbox(
+                                label="Exercise Limitations (comma-separated)",
+                                value="Anticoagulation therapy, Post-thrombotic recovery",
+                                lines=2,
+                                interactive=True
+                            )
+                        
+                        with gr.Row():
+                            save_profile_btn = gr.Button("💾 Save Current Profile", variant="primary", scale=1)
+                            reset_profile_btn = gr.Button("🔄 Reset to Default", scale=1)
+                        
+                        profile_save_status = gr.HTML(value="", visible=True)
+            
+            # Instructions tab
+            with gr.TabItem("📖 Help", id="help"):
+                gr.Markdown(HELP_CONTENT)
+
+        
+        # Event handlers
+        # Handlers moved to modular modules
+
+        
+        # Bind events
+        demo.load(
+            initialize_session,
+            outputs=[session_data, session_info]
+        )
+        
+        # Send message
+        send_btn.click(
+            chat_handlers.handle_message,
+            inputs=[msg, chatbot, session_data],
+            outputs=[chatbot, status_box, session_data, msg, conversation_stats, provider_summary_content, provider_summary_status, provider_summary_display, coherent_summary_display]
+        )
+        
+        msg.submit(
+            chat_handlers.handle_message,
+            inputs=[msg, chatbot, session_data],
+            outputs=[chatbot, status_box, session_data, msg, conversation_stats, provider_summary_content, provider_summary_status, provider_summary_display, coherent_summary_display]
+        )
+        
+        # Clear chat
+        clear_btn.click(
+            chat_handlers.handle_clear,
+            inputs=[session_data],
+            outputs=[chatbot, status_box, session_data, provider_summary_content, provider_summary_status, provider_summary_display, coherent_summary_display]
+        )
+        
+        # Refresh status
+        refresh_btn.click(
+            stats_handlers.get_status,
+            inputs=[session_data],
+            outputs=[status_box, conversation_stats, provider_summary_content, provider_summary_status, provider_summary_display, coherent_summary_display]
+        )
+        
+        # Example buttons
+        example_medical.click(
+            lambda h, s: chat_handlers.send_example_with_stats("I am fine", h, s),
+            inputs=[chatbot, session_data],
+            outputs=[chatbot, status_box, session_data, msg, conversation_stats, provider_summary_content, provider_summary_status, provider_summary_display, coherent_summary_display]
+        )
+        
+        example_wellness.click(
+            lambda h, s: chat_handlers.send_example_with_stats("I'm feeling stressed and overwhelmed lately", h, s),
+            inputs=[chatbot, session_data],
+            outputs=[chatbot, status_box, session_data, msg, conversation_stats, provider_summary_content, provider_summary_status, provider_summary_display, coherent_summary_display]
+        )
+        
+        example_help.click(
+            lambda h, s: chat_handlers.send_example_with_stats("I am currently experiencing an emotional crisis", h, s),
+            inputs=[chatbot, session_data],
+            outputs=[chatbot, status_box, session_data, msg, conversation_stats, provider_summary_content, provider_summary_status, provider_summary_display, coherent_summary_display]
+        )
+        
+        # Conversation logging buttons
+        download_json_btn.click(
+            stats_handlers.download_conversation_json,
+            inputs=[session_data],
+            outputs=[download_json_btn]
+        )
+        
+        download_csv_btn.click(
+            stats_handlers.download_conversation_csv,
+            inputs=[session_data],
+            outputs=[download_csv_btn]
+        )
+        
+        # Provider Summary panel handlers
+        download_summary_btn.click(
+            stats_handlers.download_provider_summary,
+            inputs=[session_data],
+            outputs=[download_summary_btn]
+        )
+        
+        clear_summary_btn.click(
+            stats_handlers.clear_provider_summary,
+            inputs=[],
+            outputs=[provider_summary_content, provider_summary_status, provider_summary_display, coherent_summary_display]
+        )
+        
+        # Coherent summary handlers (Medical Brain Summary - now first tab by default)
+        regenerate_coherent_btn.click(
+            stats_handlers.regenerate_coherent_summary,
+            inputs=[session_data],
+            outputs=[coherent_summary_display]
+        )
+        
+        download_coherent_btn.click(
+            stats_handlers.download_coherent_summary,
+            inputs=[session_data],
+            outputs=[download_coherent_btn]
+        )
+
+        # Conversation Verification events
+        generate_conv_verification_btn.click(
+            verification_handlers._generate_conv_verification,
+            inputs=[session_data],
+            outputs=[conv_verify_state, conv_verify_records, conv_verify_index, conv_verify_status, conv_verify_exchange, conv_position, conv_stats]
+        )
+
+        conv_verify_download_btn.click(
+            verification_handlers._download_reviewed_json,
+            inputs=[conv_verify_state, conv_verify_records],
+            outputs=[conv_verify_download_btn]
+        )
+
+        conv_verify_download_csv_btn.click(
+            verification_handlers._download_reviewed_csv,
+            inputs=[conv_verify_state, conv_verify_records],
+            outputs=[conv_verify_download_csv_btn]
+        )
+
+        conv_correct_btn.click(
+            verification_handlers._mark_conv_correct,
+            inputs=[conv_verify_records, conv_verify_index],
+            outputs=[
+                conv_verify_records,
+                conv_verify_index,
+                conv_verify_status,
+                conv_verify_exchange,
+                conv_position,
+                conv_stats,
+                conv_incorrect_comment_row,
+                conv_incorrect_comment,
+                conv_correct_classification,
+            ]
+        )
+
+        conv_incorrect_btn.click(
+            verification_handlers._show_incorrect_comment_ui,
+            inputs=[conv_verify_records, conv_verify_index],
+            outputs=[
+                conv_verify_records,
+                conv_verify_index,
+                conv_verify_status,
+                conv_verify_exchange,
+                conv_position,
+                conv_stats,
+                conv_incorrect_comment_row,
+                conv_incorrect_comment,
+                conv_correct_classification,
+            ]
+        )
+
+        conv_save_comment_btn.click(
+            verification_handlers._save_incorrect_comment,
+            inputs=[conv_verify_records, conv_verify_index, conv_incorrect_comment, conv_correct_classification],
+            outputs=[
+                conv_verify_records,
+                conv_verify_index,
+                conv_verify_status,
+                conv_verify_exchange,
+                conv_position,
+                conv_stats,
+                conv_incorrect_comment_row,
+                conv_incorrect_comment,
+                conv_correct_classification,
+            ]
+        )
+
+        conv_prev_btn.click(
+            lambda records, idx: verification_handlers._nav_conv(records, idx, -1),
+            inputs=[conv_verify_records, conv_verify_index],
+            outputs=[conv_verify_index, conv_verify_exchange, conv_position, conv_stats, conv_incorrect_comment_row, conv_incorrect_comment, conv_correct_classification]
+        )
+
+        conv_next_btn.click(
+            lambda records, idx: verification_handlers._nav_conv(records, idx, 1),
+            inputs=[conv_verify_records, conv_verify_index],
+            outputs=[conv_verify_index, conv_verify_exchange, conv_position, conv_stats, conv_incorrect_comment_row, conv_incorrect_comment, conv_correct_classification]
+        )
+
+        
+        # Prompt editing events
+        load_prompt_btn.click(
+            prompt_handlers.load_prompt,
+            inputs=[prompt_selector, session_data],
+            outputs=[prompt_editor, prompt_info_display, prompt_status]
+        )
+        
+        apply_prompt_btn.click(
+            prompt_handlers.apply_prompt_changes,
+            inputs=[prompt_selector, prompt_editor, session_data],
+            outputs=[prompt_status, session_data]
+        )
+        
+        reset_prompt_btn.click(
+            prompt_handlers.reset_prompt,
+            inputs=[prompt_selector, session_data],
+            outputs=[prompt_editor, prompt_info_display, prompt_status, session_data]
+        )
+        
+        promote_prompt_btn.click(
+            prompt_handlers.promote_prompt_to_file,
+            inputs=[prompt_selector, session_data],
+            outputs=[prompt_status, session_data]
+        )
+        
+        validate_prompt_btn.click(
+            prompt_handlers.validate_prompt_syntax,
+            inputs=[prompt_editor],
+            outputs=[prompt_status]
+        )
+        
+        # Auto-load prompt when selector changes
+        prompt_selector.change(
+            prompt_handlers.load_prompt,
+            inputs=[prompt_selector, session_data],
+            outputs=[prompt_editor, prompt_info_display, prompt_status]
+        )
+        
+        # Bind model selection events
+        apply_models_btn.click(
+            model_handlers.apply_model_settings,
+            inputs=[spiritual_model, soft_spiritual_triage_model, triage_evaluate_model, medical_model, soft_triage_model, spiritual_care_message_model, session_data],
+            outputs=[model_status, session_data]
+        )
+        
+        reset_models_btn.click(
+            model_handlers.reset_model_settings,
+            inputs=[session_data],
+            outputs=[model_status, session_data]
+        )
+        
+        # Bind profile events
+        load_profile_btn.click(
+            profile_handlers.load_profile,
+            inputs=[profile_selector, session_data],
+            outputs=[patient_name, patient_phone, patient_age, conditions, primary_goal, exercise_prefs, exercise_limits, profile_status]
+        )
+        
+        save_profile_btn.click(
+            profile_handlers.save_profile,
+            inputs=[patient_name, patient_phone, patient_age, conditions, primary_goal, exercise_prefs, exercise_limits, session_data],
+            outputs=[profile_save_status]
+        )
+        
+        reset_profile_btn.click(
+            profile_handlers.reset_profile,
+            inputs=[session_data],
+            outputs=[patient_name, patient_phone, patient_age, conditions, primary_goal, exercise_prefs, exercise_limits, profile_save_status]
+        )
+    
+    # Add CSS for prompt status container
+    demo.css = """
+    .prompt-status-container {
+        max-height: 300px !important;
+        overflow-y: auto !important;
+        margin: 0.5em 0 !important;
+    }
+    .prompt-status-container > div {
+        max-height: 280px !important;
+        overflow-y: auto !important;
+    }
+    """
+    
+    return demo
+
+
+def main():
+    """Launch the simplified Gradio interface."""
+    demo = create_simplified_interface()
+    
+    # Get configuration
+    server_name = os.getenv("GRADIO_SERVER_NAME", "0.0.0.0")
+    server_port = int(os.getenv("GRADIO_SERVER_PORT", "7860"))
+    share = os.getenv("GRADIO_SHARE", "false").lower() == "true"
+    
+    print(f"🚀 Starting Simplified Medical Assistant...")
+    print(f"📍 Server: http://{server_name}:{server_port}")
+    
+    demo.launch(
+        server_name=server_name,
+        server_port=server_port,
+        share=share
+    )
+
+
+if __name__ == "__main__":
+    main()

src/interface/simplified_chat_handlers.py

@@ -0,0 +1,191 @@
+# simplified_chat_handlers.py
+"""
+Chat handlers for simplified interface with Provider Summary replacement.
+
+Based on Or_4.txt requirement:
+"Instead of showing the final user message (consent confirmation),
+show the Provider Summary message for the spiritual care team."
+"""
+
+import gradio as gr
+import html
+from src.interface.session_manager import SimplifiedSessionData
+from src.interface.stats_handlers import get_conversation_stats
+
+
+def handle_message_simplified(message: str, history, session: SimplifiedSessionData):
+    """
+    Handle user message with Provider Summary replacement for simplified interface.
+    
+    Key difference from standard handler:
+    - When RED flag is triggered and consent is given, the last assistant message
+      is replaced with the Provider Summary (message for spiritual care team)
+      instead of the confirmation message to the user.
+    - All assistant messages are prefixed with "To patient:" or "To spiritual care team:"
+    """
+    if session is None:
+        session = SimplifiedSessionData()
+    
+    session.update_activity()
+
+    # Apply per-session model overrides (if configured)
+    custom_models = getattr(session, 'custom_models', None)
+    if custom_models:
+        session.app_instance.set_model_overrides(custom_models)
+    else:
+        session.app_instance.set_model_overrides({})
+
+    # Apply per-session prompt overrides (if configured)
+    custom_prompts = getattr(session, 'custom_prompts', None)
+    if custom_prompts:
+        session.app_instance.set_prompt_overrides(custom_prompts)
+    else:
+        session.app_instance.set_prompt_overrides({})
+    
+    # Store previous spiritual state to detect transitions
+    previous_state = session.app_instance.spiritual_state.spiritual_state
+    
+    # Process message
+    new_history, status = session.app_instance.process_message(message, history)
+    
+    # Check if we just transitioned to RED state (consent was given)
+    current_state = session.app_instance.spiritual_state.spiritual_state
+    consent_just_given = (previous_state.value == "awaiting_consent" and 
+                         current_state.value == "red")
+    
+    # SIMPLIFIED INTERFACE MODIFICATION:
+    # Replace last assistant message with Provider Summary if consent was just given
+    if consent_just_given:
+        last_summary = session.app_instance.get_last_provider_summary()
+        if last_summary and new_history:
+            # Get the COHERENT NARRATIVE summary (LLM-generated from spiritual_care_message.txt)
+            # This is the Medical Brain compatible format, not the structured format
+            try:
+                provider_summary_text = session.app_instance.provider_summary_generator.format_coherent_paragraph(last_summary)
+                
+                if not provider_summary_text:
+                    # Fallback to structured format if coherent generation fails
+                    provider_summary_text = session.app_instance.provider_summary_generator.format_for_export(last_summary)
+                    
+            except Exception as e:
+                print(f"ERROR: Failed to generate coherent summary: {e}")
+                # Fallback to structured format
+                provider_summary_text = session.app_instance.provider_summary_generator.format_for_export(last_summary)
+            
+            # Format with clear addressee label after classification
+            # Provider Summary should also have classification info, then "**To spiritual care team:**"
+            summary_display = f"""**To spiritual care team:**
+
+{provider_summary_text}"""
+            
+            # Replace the last assistant message with the provider summary
+            # History format: list of dicts with 'role' and 'content'
+            if len(new_history) > 0:
+                last_item = new_history[-1]
+                if isinstance(last_item, dict) and last_item.get('role') == 'assistant':
+                    # Replace the content
+                    new_history[-1] = {
+                        'role': 'assistant',
+                        'content': summary_display
+                    }
+                elif isinstance(last_item, (list, tuple)) and len(last_item) > 1:
+                    # Old format: (user_msg, assistant_msg)
+                    new_history[-1] = (last_item[0], summary_display)
+                
+                print(f"DEBUG: Replaced last message with Provider Summary (coherent narrative)")
+                print(f"DEBUG: Summary length: {len(provider_summary_text)} chars")
+    else:
+        # Add "To patient:" after classification status for all other assistant messages
+        if new_history and len(new_history) > 0:
+            last_item = new_history[-1]
+            if isinstance(last_item, dict) and last_item.get('role') == 'assistant':
+                content = last_item.get('content', '')
+                # Only add prefix if not already present
+                if 'To patient:' not in content and 'To spiritual care team:' not in content:
+                    # Insert "To patient:" after the classification line
+                    # Format: "🟢 GREEN (95%)\n*Indicators...*\n*Reasoning...*\n\nActual message"
+                    # We need to insert "To patient:\n" after the classification block
+                    lines = content.split('\n')
+                    
+                    # Find where classification ends (after reasoning line or after first empty line)
+                    insert_index = 0
+                    for i, line in enumerate(lines):
+                        if line.strip().startswith('*') or line.strip().startswith('🟢') or line.strip().startswith('🟡') or line.strip().startswith('🔴') or line.strip().startswith('⚪'):
+                            insert_index = i + 1
+                        elif insert_index > 0 and line.strip() == '':
+                            # Found empty line after classification
+                            insert_index = i
+                            break
+                    
+                    # Insert "**To patient:**" at the right position (after the empty line)
+                    if insert_index > 0 and insert_index < len(lines):
+                        lines.insert(insert_index, '**To patient:**')
+                        lines.insert(insert_index + 1, '')  # Add empty line after "**To patient:**"
+                        new_content = '\n'.join(lines)
+                    else:
+                        # Fallback: add at the beginning
+                        new_content = f"**To patient:**\n\n{content}"
+                    
+                    new_history[-1] = {
+                        'role': 'assistant',
+                        'content': new_content
+                    }
+            elif isinstance(last_item, (list, tuple)) and len(last_item) > 1:
+                content = last_item[1]
+                if 'To patient:' not in content and 'To spiritual care team:' not in content:
+                    # Same logic for tuple format
+                    lines = content.split('\n')
+                    insert_index = 0
+                    for i, line in enumerate(lines):
+                        if line.strip().startswith('*') or line.strip().startswith('🟢') or line.strip().startswith('🟡') or line.strip().startswith('🔴') or line.strip().startswith('⚪'):
+                            insert_index = i + 1
+                        elif insert_index > 0 and line.strip() == '':
+                            insert_index = i + 1
+                            break
+                    
+                    if insert_index > 0 and insert_index < len(lines):
+                        lines.insert(insert_index, '**To patient:**')
+                        lines.insert(insert_index + 1, '')  # Add empty line after "**To patient:**"
+                        new_content = '\n'.join(lines)
+                    else:
+                        new_content = f"**To patient:**\n\n{content}"
+                    
+                    new_history[-1] = (last_item[0], new_content)
+    
+    # Get updated conversation stats
+    stats = get_conversation_stats(session)
+    
+    return (
+        new_history, 
+        status, 
+        session, 
+        "",  # Clear input
+        stats
+    )
+
+
+def handle_clear_simplified(session: SimplifiedSessionData):
+    """
+    Handle clear chat button for simplified interface.
+    
+    Resets entire session including:
+    - Chat history
+    - Spiritual monitoring state
+    - Conversation statistics
+    """
+    if session is None:
+        session = SimplifiedSessionData()
+    
+    session.update_activity()
+    new_history, status = session.app_instance.reset_session()
+    
+    return (
+        new_history,  # Clear chat history
+        status,  # Reset status
+        session  # Updated session
+    )
+
+
+def send_example_simplified(example_text: str, history, session: SimplifiedSessionData):
+    """Send example message in simplified interface."""
+    return handle_message_simplified(example_text, history, session)

src/interface/simplified_gradio_app.py

@@ -1,11 +1,13 @@
 # simplified_gradio_app.py
 """
-Simplified Gradio Interface for Medical Brain with Background Spiritual Monitoring.
+Simplified Gradio Interface based on customer feedback from Or_4.txt
 
-Single unified medical interface with invisible spiritual monitoring.
-No mode selector - just medical dialog with automatic spiritual support.
+Key changes:
+1. Provider Summary is the final exchange in Conversation Verification tab
+2. Streamlined interface focusing on essential features
+3. CSV export for verification results
 
-Requirements: 1.3, 4.1, 4.2, 12.1, 12.2
+Requirements: Customer feedback Or_4.txt
 """
 
 import os
@@ -26,47 +28,27 @@ import gradio as gr
 # Import modularized components
 from src.interface.session_manager import SimplifiedSessionData
 from src.interface import stats_handlers
-from src.interface import chat_handlers
-from src.interface import prompt_handlers
+from src.interface import simplified_chat_handlers  # Use simplified handlers
 from src.interface import verification_handlers
-from src.interface import profile_handlers
+from src.interface import prompt_handlers
 from src.interface import model_handlers
-
-from src.core.simplified_medical_app import SimplifiedMedicalApp
-from src.core.spiritual_state import SpiritualState
-from src.interface.enhanced_verification_interface import create_enhanced_verification_tab
-from src.interface.help_content import HELP_CONTENT
+from src.interface import profile_handlers
+from src.interface.simplified_help_content import SIMPLIFIED_HELP_CONTENT
 
 try:
-    from app_config import (
-        GRADIO_CONFIG, 
-        ENHANCED_VERIFICATION_CONFIG,
-        FEATURE_FLAGS,
-        is_feature_enabled
-    )
+    from app_config import GRADIO_CONFIG
 except ImportError:
     GRADIO_CONFIG = {"theme": "soft", "show_api": False}
-    ENHANCED_VERIFICATION_CONFIG = {"enabled": True}
-    FEATURE_FLAGS = {
-        "enhanced_verification_enabled": True,
-        "standard_verification_enabled": True,
-        "show_mode_navigation_hints": True,
-    }
-    def is_feature_enabled(feature_name: str) -> bool:
-        return FEATURE_FLAGS.get(feature_name, False)
-
-
-
 
 
 def create_simplified_interface():
     """
-    Create simplified Gradio interface.
+    Create simplified Gradio interface based on customer feedback.
     
-    Single medical assistant interface with background spiritual monitoring.
-    No mode selector - spiritual support is automatic and invisible.
-    
-    Requirements: 1.3, 4.1, 12.1
+    Focus on:
+    - Chat interface
+    - Conversation Verification with Provider Summary as final step
+    - Simplified data export
     """
     
     debug_mode = os.getenv("LOG_PROMPTS", "false").lower() == "true"
@@ -79,7 +61,7 @@ def create_simplified_interface():
         theme = gr.themes.Default()
     
     demo = gr.Blocks(
-        title="🏥 Medical Assistant with Spiritual Support",
+        title="🏥 Medical Assistant - Simplified",
         analytics_enabled=False
     )
     demo.theme = theme
@@ -89,8 +71,8 @@ def create_simplified_interface():
         session_data = gr.State(value=None)
         
         # Header
-        gr.Markdown("# 🏥 Medical Assistant with Spiritual Support 🕊️")
-        gr.Markdown("Your personal healthcare companion with integrated wellness support")
+        gr.Markdown("# 🏥 Medical Assistant with Spiritual Support")
+        gr.Markdown("Simplified interface for conversation verification and testing")
         
         if debug_mode:
             gr.Markdown("⚠️ **DEBUG MODE:** Prompts and responses are logged")
@@ -109,13 +91,9 @@ def create_simplified_interface():
 """
             return new_session, session_info_text
         
-        # Main interface - using Tabs with elem_id for navigation
+        # Main interface tabs
         main_tabs = gr.Tabs(elem_id="main_tabs")
         with main_tabs:
-            # Note: The following tabs are intentionally hidden for now:
-            # - ✏️ Edit Enhanced Datasets
-            # - ✓ Standard Verification
-            # We keep the rest of the interface focused on Chat + Conversation Verification.
             
             # Chat tab
             with gr.TabItem("💬 Chat", id="chat"):
@@ -137,15 +115,6 @@ def create_simplified_interface():
                         with gr.Row():
                             clear_btn = gr.Button("🗑️ Clear Chat", scale=1)
                         
-                        # Conversation logging section
-                        gr.Markdown("### 📊 Conversation Logs:")
-                        with gr.Row():
-                            download_json_btn = gr.DownloadButton("📥 Download JSON", scale=1, size="sm")
-                            download_csv_btn = gr.DownloadButton("📊 Download CSV", scale=1, size="sm")
-
-                        # Conversation verification is available in the dedicated
-                        # "🧾 Conversation Verification" tab.
-                        
                         # Quick examples
                         gr.Markdown("### ⚡ Quick Start:")
                         with gr.Row():
@@ -159,7 +128,7 @@ def create_simplified_interface():
                             label="📊 Status"
                         )
                         
-                        refresh_btn = gr.Button("🔄 Check Status & Summary", size="sm")
+                        refresh_btn = gr.Button("🔄 Check Status", size="sm")
                         
                         # Conversation statistics
                         gr.Markdown("### 📈 Conversation Stats")
@@ -167,76 +136,24 @@ def create_simplified_interface():
                             value="No conversation yet",
                             label="Statistics"
                         )
-                        
-                        # Debug info (only in debug mode)
-                        if debug_mode:
-                            gr.Markdown("### 🔧 Debug Info")
-                            debug_info = gr.Markdown(value="")
-                    
-                    # Provider Summary Panel (for RED flags) - always visible but content controlled
-                    with gr.Column(scale=1) as provider_summary_column:
-                        with gr.Group(visible=False) as provider_summary_content:
-                            gr.Markdown("### 📋 Provider Summary")
-                            gr.Markdown("*For Spiritual Care Team*", elem_classes=["provider-subtitle"])
-                            
-                            provider_summary_status = gr.Markdown(
-                                value="**Provider Summary Generated**\n\nA detailed summary has been generated for the spiritual care team. Use the Download button below to access the full summary."
-                            )
-                            
-                            # Tabs for different summary views (Medical Brain Summary first by default)
-                            with gr.Tabs():
-                                # Coherent Paragraph Tab (FIRST - Requirements 2.1-2.8) - Medical Brain compatibility
-                                with gr.TabItem("📝 Medical Brain Summary"):
-                                    gr.Markdown("*Single paragraph format for Medical Brain compatibility - **Default View***")
-                                    coherent_summary_display = gr.Textbox(
-                                        value="",
-                                        lines=8,
-                                        label="Medical Brain Compatible Summary",
-                                        interactive=False
-                                    )
-                                    with gr.Row():
-                                        regenerate_coherent_btn = gr.Button(
-                                            "🔄 Regenerate Medical Brain Summary",
-                                            size="sm",
-                                            variant="secondary"
-                                        )
-                                        download_coherent_btn = gr.DownloadButton(
-                                            "📥 Download Medical Brain Summary",
-                                            size="sm",
-                                            variant="secondary"
-                                        )
-                                
-                                # Structured Summary Tab (moved to second position)
-                                with gr.TabItem("📊 Structured Summary"):
-                                    provider_summary_display = gr.HTML(value="")
-                            
-                            with gr.Row():
-                                download_summary_btn = gr.DownloadButton(
-                                    "📥 Download Full Summary", 
-                                    size="sm",
-                                    variant="secondary"
-                                )
-                                clear_summary_btn = gr.Button(
-                                    "🗑️ Clear", 
-                                    size="sm"
-                                )
-
-            # Conversation Verification tab (chat-derived)
+
+            # Conversation Verification tab - MAIN FOCUS
             with gr.TabItem("🧾 Conversation Verification", id="conversation_verification"):
-                gr.Markdown("## 🧾 Conversation Verification (from Chat)")
+                gr.Markdown("## 🧾 Conversation Verification")
                 gr.Markdown(
-                    "Click **Generate** to build a verification session from the current chat. "
-                    "Review each exchange, mark it correct/incorrect, and download the session JSON."
+                    "Review each exchange from the chat conversation. "
+                    "**The Provider Summary will be shown as the final step** for your review and feedback."
                 )
 
-                conv_verify_state = gr.State(value=None)  # holds exported JSON path
+                conv_verify_state = gr.State(value=None)
                 conv_verify_index = gr.State(value=0)
                 conv_verify_records = gr.State(value=[])
 
                 with gr.Row():
-                    generate_conv_verification_btn = gr.Button("🛠 Generate from current chat", variant="primary")
-                    conv_verify_download_btn = gr.DownloadButton("⬇️ Download reviewed JSON", variant="secondary")
-                    conv_verify_download_csv_btn = gr.DownloadButton("📄 Download CSV", variant="secondary")
+                    generate_conv_verification_btn = gr.Button(
+                        "🛠 Generate Verification from Chat", 
+                        variant="primary"
+                    )
 
                 conv_verify_status = gr.Markdown(value="", visible=True)
                 conv_verify_exchange = gr.HTML(value="", label="Current Exchange")
@@ -262,7 +179,7 @@ def create_simplified_interface():
                         )
                         conv_incorrect_comment = gr.Textbox(
                             label="Comment (why incorrect / what to fix)",
-                            placeholder="Add a short note for this exchange...",
+                            placeholder="Add your feedback here...",
                             lines=3,
                         )
                     with gr.Column(scale=1):
@@ -273,13 +190,13 @@ def create_simplified_interface():
                         conv_position = gr.Markdown(value="")
                     with gr.Column(scale=1):
                         conv_stats = gr.HTML(value="")
+                
+                # Manual download options (backup)
+                gr.Markdown("### 📥 Manual Export")
+                with gr.Row():
+                    conv_verify_download_csv_btn = gr.DownloadButton("📄 Download CSV", variant="secondary")
 
-            # Enhanced Verification Modes tab (hidden sub-tabs; kept but moved after Conversation Verification)
-            if is_feature_enabled("enhanced_verification_enabled"):
-                with gr.TabItem("🔍 Enhanced Verification", id="enhanced_verification"):
-                    enhanced_verification_interface = create_enhanced_verification_tab()
-            
-            # Model Selection tab (second tab)
+            # Model Selection tab
             with gr.TabItem("⚙️ Model Settings", id="model_settings"):
                 gr.Markdown("## ⚙️ AI Model Configuration")
                 gr.Markdown("Select which AI models to use for different tasks. Changes apply to your current session.")
@@ -549,17 +466,15 @@ def create_simplified_interface():
                             reset_profile_btn = gr.Button("🔄 Reset to Default", scale=1)
                         
                         profile_save_status = gr.HTML(value="", visible=True)
-            
-            # Instructions tab
+
+            # Help tab
             with gr.TabItem("📖 Help", id="help"):
-                gr.Markdown(HELP_CONTENT)
+                gr.Markdown(SIMPLIFIED_HELP_CONTENT)
 
         
         # Event handlers
-        # Handlers moved to modular modules
-
         
-        # Bind events
+        # Initialize session
         demo.load(
             initialize_session,
             outputs=[session_data, session_info]
@@ -567,102 +482,57 @@ def create_simplified_interface():
         
         # Send message
         send_btn.click(
-            chat_handlers.handle_message,
+            simplified_chat_handlers.handle_message_simplified,
             inputs=[msg, chatbot, session_data],
-            outputs=[chatbot, status_box, session_data, msg, conversation_stats, provider_summary_content, provider_summary_status, provider_summary_display, coherent_summary_display]
+            outputs=[chatbot, status_box, session_data, msg, conversation_stats]
         )
         
         msg.submit(
-            chat_handlers.handle_message,
+            simplified_chat_handlers.handle_message_simplified,
             inputs=[msg, chatbot, session_data],
-            outputs=[chatbot, status_box, session_data, msg, conversation_stats, provider_summary_content, provider_summary_status, provider_summary_display, coherent_summary_display]
+            outputs=[chatbot, status_box, session_data, msg, conversation_stats]
         )
         
         # Clear chat
         clear_btn.click(
-            chat_handlers.handle_clear,
+            simplified_chat_handlers.handle_clear_simplified,
             inputs=[session_data],
-            outputs=[chatbot, status_box, session_data, provider_summary_content, provider_summary_status, provider_summary_display, coherent_summary_display]
+            outputs=[chatbot, status_box, session_data]
         )
         
         # Refresh status
         refresh_btn.click(
             stats_handlers.get_status,
             inputs=[session_data],
-            outputs=[status_box, conversation_stats, provider_summary_content, provider_summary_status, provider_summary_display, coherent_summary_display]
+            outputs=[status_box, conversation_stats]
         )
         
         # Example buttons
         example_medical.click(
-            lambda h, s: chat_handlers.send_example_with_stats("I am fine", h, s),
+            lambda h, s: simplified_chat_handlers.send_example_simplified("I am fine", h, s),
             inputs=[chatbot, session_data],
-            outputs=[chatbot, status_box, session_data, msg, conversation_stats, provider_summary_content, provider_summary_status, provider_summary_display, coherent_summary_display]
+            outputs=[chatbot, status_box, session_data, msg, conversation_stats]
         )
         
         example_wellness.click(
-            lambda h, s: chat_handlers.send_example_with_stats("I'm feeling stressed and overwhelmed lately", h, s),
+            lambda h, s: simplified_chat_handlers.send_example_simplified("I'm feeling stressed and overwhelmed lately", h, s),
             inputs=[chatbot, session_data],
-            outputs=[chatbot, status_box, session_data, msg, conversation_stats, provider_summary_content, provider_summary_status, provider_summary_display, coherent_summary_display]
+            outputs=[chatbot, status_box, session_data, msg, conversation_stats]
         )
         
         example_help.click(
-            lambda h, s: chat_handlers.send_example_with_stats("I am currently experiencing an emotional crisis", h, s),
+            lambda h, s: simplified_chat_handlers.send_example_simplified("I am currently experiencing an emotional crisis", h, s),
             inputs=[chatbot, session_data],
-            outputs=[chatbot, status_box, session_data, msg, conversation_stats, provider_summary_content, provider_summary_status, provider_summary_display, coherent_summary_display]
-        )
-        
-        # Conversation logging buttons
-        download_json_btn.click(
-            stats_handlers.download_conversation_json,
-            inputs=[session_data],
-            outputs=[download_json_btn]
-        )
-        
-        download_csv_btn.click(
-            stats_handlers.download_conversation_csv,
-            inputs=[session_data],
-            outputs=[download_csv_btn]
-        )
-        
-        # Provider Summary panel handlers
-        download_summary_btn.click(
-            stats_handlers.download_provider_summary,
-            inputs=[session_data],
-            outputs=[download_summary_btn]
-        )
-        
-        clear_summary_btn.click(
-            stats_handlers.clear_provider_summary,
-            inputs=[],
-            outputs=[provider_summary_content, provider_summary_status, provider_summary_display, coherent_summary_display]
-        )
-        
-        # Coherent summary handlers (Medical Brain Summary - now first tab by default)
-        regenerate_coherent_btn.click(
-            stats_handlers.regenerate_coherent_summary,
-            inputs=[session_data],
-            outputs=[coherent_summary_display]
-        )
-        
-        download_coherent_btn.click(
-            stats_handlers.download_coherent_summary,
-            inputs=[session_data],
-            outputs=[download_coherent_btn]
+            outputs=[chatbot, status_box, session_data, msg, conversation_stats]
         )
 
         # Conversation Verification events
         generate_conv_verification_btn.click(
-            verification_handlers._generate_conv_verification,
+            verification_handlers._generate_conv_verification_with_summary,
             inputs=[session_data],
             outputs=[conv_verify_state, conv_verify_records, conv_verify_index, conv_verify_status, conv_verify_exchange, conv_position, conv_stats]
         )
 
-        conv_verify_download_btn.click(
-            verification_handlers._download_reviewed_json,
-            inputs=[conv_verify_state, conv_verify_records],
-            outputs=[conv_verify_download_btn]
-        )
-
         conv_verify_download_csv_btn.click(
             verification_handlers._download_reviewed_csv,
             inputs=[conv_verify_state, conv_verify_records],
@@ -729,7 +599,6 @@ def create_simplified_interface():
             outputs=[conv_verify_index, conv_verify_exchange, conv_position, conv_stats, conv_incorrect_comment_row, conv_incorrect_comment, conv_correct_classification]
         )
 
-        
         # Prompt editing events
         load_prompt_btn.click(
             prompt_handlers.load_prompt,
@@ -822,10 +691,10 @@ def main():
     
     # Get configuration
     server_name = os.getenv("GRADIO_SERVER_NAME", "0.0.0.0")
-    server_port = int(os.getenv("GRADIO_SERVER_PORT", "7860"))
+    server_port = int(os.getenv("GRADIO_SERVER_PORT", "7861"))  # Different port
     share = os.getenv("GRADIO_SHARE", "false").lower() == "true"
     
-    print(f"🚀 Starting Simplified Medical Assistant...")
+    print(f"🚀 Starting Simplified Medical Assistant Interface...")
     print(f"📍 Server: http://{server_name}:{server_port}")
     
     demo.launch(

src/interface/simplified_help_content.py

@@ -0,0 +1,287 @@
+# simplified_help_content.py
+"""
+Help content for simplified Gradio interface.
+
+Based on customer feedback from Or_4.txt with focus on:
+- Provider Summary as final exchange
+- Streamlined verification workflow
+- Clear instructions for testing team
+"""
+
+SIMPLIFIED_HELP_CONTENT = """
+# 🏥 Medical Assistant - Help Guide
+
+## 🎯 Overview
+
+This interface helps you test and verify conversations with the Medical Assistant that includes automatic spiritual support monitoring.
+
+---
+
+## 📋 Main Features
+
+### 💬 Chat Tab
+Test conversations with the medical assistant. The system automatically monitors for spiritual distress.
+
+**How to use:**
+1. Type your message in the text box
+2. Click "📤 Send" or press Enter
+3. Review the assistant's response
+4. Notice the classification indicator (🟢 GREEN, 🟡 YELLOW, 🔴 RED)
+
+**Message Format:**
+- **Classification line:** Shows distress level and confidence
+- **To patient:** The actual response to the patient
+- **To spiritual care team:** Provider summary (only after consent)
+
+**Quick Examples:**
+- 🟢 "I am fine" - Normal conversation
+- 🟡 "I'm feeling stressed" - Potential distress
+- 🔴 "Emotional crisis" - Immediate concern
+
+---
+
+### 🧾 Conversation Verification Tab
+
+Review and verify the accuracy of spiritual distress classifications.
+
+**Important:** Provider Summary appears as the **final exchange** for your review.
+
+**Workflow:**
+1. Click "🛠 Generate Verification from Chat"
+2. Review each exchange:
+   - Read the user message and assistant response
+   - Check the classification (GREEN/YELLOW/RED)
+   - Mark as ✅ Correct or ❌ Incorrect
+3. For incorrect classifications:
+   - Select the correct classification
+   - Add a comment explaining why it's incorrect
+   - Click "💾 Save comment"
+4. Navigate with ⬅️ Previous / Next ➡️ buttons
+5. **Final step:** Review the Provider Summary
+   - This is the message sent to the spiritual care team
+   - Verify it's complete and accurate
+   - Add feedback if needed
+6. Download results: "📄 Download CSV"
+
+**Statistics shown:**
+- Reviewed: How many exchanges you've checked
+- ✅ Correct: Accurate classifications
+- ❌ Incorrect: Classifications that need fixing
+- 📝 Incorrect w/ comment: Incorrect with your feedback
+
+---
+
+### ⚙️ Model Settings Tab
+
+Configure which AI models to use for different tasks.
+
+**Available models:**
+- **Gemini models:** Fast, good for classification
+- **Claude models:** More nuanced, better for conversations
+
+**Model roles:**
+- 🔍 Spiritual Monitor: Detects distress indicators
+- 🟡 Soft Spiritual Triage: Asks clarifying questions
+- 📊 Triage Response Evaluator: Analyzes patient responses
+- 🏥 Medical Assistant: Provides medical guidance
+- 🩺 Soft Medical Triage: Medical assessment questions
+- 💬 Medical Brain Summary Generator: Creates provider summaries
+
+**How to use:**
+1. Select models from dropdowns
+2. Click "✅ Apply Model Settings"
+3. Changes apply to your current session only
+
+---
+
+### 🔧 Edit Prompts Tab
+
+Customize the AI system prompts for testing different behaviors.
+
+**Available prompts:**
+- 🔍 Spiritual Monitor (Classifier)
+- 🟡 Soft Spiritual Triage
+- 📊 Triage Response Evaluator
+- 🏥 Medical Assistant
+- 🩺 Soft Medical Triage
+- 💬 Spiritual Care Message (used for Provider Summary)
+
+**How to use:**
+1. Select a prompt from the dropdown
+2. Click "📥 Load Prompt" to see current version
+3. Edit the prompt text
+4. Click "✅ Apply Changes" to test
+5. Click "🔄 Reset to Default" if needed
+
+**Tips:**
+- Changes are session-only (not permanent)
+- Test your changes in the Chat tab
+- Use "🔍 Validate" to check syntax
+- Use "📤 Promote to File" to save permanently
+
+---
+
+### 👥 Patient Profiles Tab
+
+Switch between different patient scenarios for testing.
+
+**Predefined profiles:**
+- 👤 Default Profile (Serhii)
+- 🟢 GREEN scenarios (healthy coping)
+- 🟡 YELLOW scenarios (mild distress, grief, questions)
+- 🔴 RED scenarios (crisis, hopelessness)
+- Medical conditions (cardiac, diabetic, post-surgery, etc.)
+
+**How to use:**
+1. Select a profile from the dropdown
+2. Click "📥 Load Profile"
+3. Profile settings are applied to the session
+4. Test conversations with this patient context
+
+**Custom profiles:**
+- Modify patient name, age, phone
+- Add medical conditions
+- Set primary goals
+- Define exercise preferences and limitations
+- Click "💾 Save Current Profile"
+
+---
+
+## 🎓 For Testing Team
+
+### What to Verify
+
+**In Chat:**
+- ✅ Appropriate responses to different distress levels
+- ✅ Correct classification indicators
+- ✅ Clear addressee labels (To patient: / To spiritual care team:)
+
+**In Conversation Verification:**
+- ✅ Accurate distress level detection (GREEN/YELLOW/RED)
+- ✅ Provider Summary completeness and accuracy
+- ✅ All important information captured
+
+### Provider Summary Review (Final Exchange)
+
+The Provider Summary is the **most important** part to verify:
+
+**Check for:**
+- ✅ Patient demographics (name, age, conditions)
+- ✅ Distress indicators clearly stated
+- ✅ Severity and urgency levels
+- ✅ Recommended timeline for contact
+- ✅ Patient quotes (if applicable)
+- ✅ Clear, professional narrative style
+
+**If incorrect or incomplete:**
+- Mark as ❌ Incorrect
+- Add detailed comment about what's missing or wrong
+- Specify what should be included
+
+---
+
+## 💡 Tips & Best Practices
+
+### For Effective Testing
+
+1. **Test various scenarios:** Try different distress levels
+2. **Be specific in comments:** Help us understand what needs fixing
+3. **Review Provider Summary carefully:** This goes to the spiritual care team
+4. **Use predefined profiles:** They cover common scenarios
+5. **Export your results:** Download CSV for reporting
+
+### Common Issues
+
+**Classification seems wrong?**
+- Mark as incorrect
+- Select the correct classification
+- Explain your reasoning in the comment
+
+**Provider Summary incomplete?**
+- Mark as incorrect
+- List what's missing in the comment
+- Suggest what should be included
+
+**Response not appropriate?**
+- Note it in the verification comments
+- Specify what would be better
+
+---
+
+## 📊 Export & Reporting
+
+### CSV Export
+
+The CSV file includes:
+- All exchanges with classifications
+- Your verification results (correct/incorrect)
+- Your comments and corrections
+- Provider Summary (in the final row)
+- Session metadata
+
+**Use for:**
+- Reporting to development team
+- Tracking accuracy over time
+- Identifying patterns in errors
+
+---
+
+## 🔄 Workflow Summary
+
+```
+1. Chat Tab
+   ↓ Test conversations
+   
+2. Conversation Verification Tab
+   ↓ Generate verification
+   ↓ Review exchanges
+   ↓ Mark correct/incorrect
+   ↓ Review Provider Summary (final step)
+   ↓ Download CSV
+   
+3. Report findings to team
+```
+
+---
+
+## ❓ Frequently Asked Questions
+
+**Q: What's the difference between GREEN, YELLOW, and RED?**
+- 🟢 GREEN: No spiritual distress detected
+- 🟡 YELLOW: Potential distress, needs clarification
+- 🔴 RED: Significant distress, requires spiritual care referral
+
+**Q: Why is Provider Summary the last exchange?**
+- It allows you to review the final message sent to the spiritual care team
+- You can verify it's complete and accurate
+- Your feedback helps improve summary quality
+
+**Q: Do my changes persist between sessions?**
+- No, model and prompt changes are session-only
+- This allows safe testing without affecting others
+- Use "Promote to File" to make permanent changes
+
+**Q: What should I focus on when testing?**
+- Accuracy of distress classification
+- Appropriateness of responses
+- Completeness of Provider Summary
+- Overall user experience
+
+**Q: How do I report issues?**
+- Use the verification comments
+- Download CSV with your findings
+- Share with the development team
+
+---
+
+## 📞 Support
+
+If you encounter issues or have questions:
+1. Check this help guide
+2. Review the original requirements: `review/Or_4.txt`
+3. Contact the development team
+
+---
+
+**Thank you for helping improve the Medical Assistant! Your feedback is invaluable! 🙏**
+"""

src/interface/verification_handlers.py

@@ -756,30 +756,53 @@ def _render_conv_exchange(records: list, index: int):
         return "", "", ""
     index = max(0, min(index, len(records) - 1))
     r = records[index]
-    # Reuse renderer from conversation_verification_ui to keep style consistent
-    from src.interface.conversation_verification_ui import VerificationInterface
-
-    vi = VerificationInterface(ConversationVerificationManager())
-    # If we already have dicts, build a lightweight VerificationRecord
-    if isinstance(r, dict):
-        rec = ConvVerificationRecord(
-            exchange_id=r.get("exchange_id") or r.get("record_id", ""),
-            exchange_number=r.get("exchange_number", 0),
-            user_message=r.get("user_message", ""),
-            assistant_response=r.get("assistant_response", ""),
-            original_classification=r.get("original_classification", ""),
-            original_confidence=r.get("original_confidence", 0.0),
-            original_indicators=r.get("original_indicators", []),
-            original_reasoning=r.get("original_reasoning", ""),
-            timestamp=r.get("timestamp"),
-            is_correct=r.get("is_correct"),
-            correct_classification=r.get("correct_classification"),
-            correction_reason=r.get("correction_reason"),
-            verifier_notes=r.get("verifier_notes"),
-        )
+    
+    # Check if this is a Provider Summary exchange (Or_4.txt requirement)
+    if isinstance(r, dict) and r.get("original_classification") == "PROVIDER_SUMMARY":
+        # Render Provider Summary as final exchange
+        provider_summary_html = r.get("provider_summary_html", "")
+        if not provider_summary_html:
+            # Fallback rendering if HTML not provided
+            provider_summary_text = r.get("provider_summary", "")
+            provider_summary_html = f"""
+<div style="background-color: #fff3cd; border-left: 4px solid #ffc107; padding: 1em; margin: 1em 0; border-radius: 4px;">
+    <h3 style="margin-top: 0; color: #856404;">📋 Provider Summary (Final Review)</h3>
+    <div style="background-color: white; padding: 1em; border-radius: 4px; margin-top: 0.5em;">
+        <pre style="white-space: pre-wrap; font-family: system-ui; margin: 0;">{provider_summary_text}</pre>
+    </div>
+    <p style="margin-bottom: 0; margin-top: 0.5em; font-size: 0.9em; color: #856404;">
+        <strong>Please review this summary and provide feedback if incorrect or incomplete.</strong>
+    </p>
+</div>
+"""
+        html = provider_summary_html
     else:
-        rec = r
-    html = vi._render_exchange_review(rec)
+        # Regular exchange rendering
+        # Reuse renderer from conversation_verification_ui to keep style consistent
+        from src.interface.conversation_verification_ui import VerificationInterface
+
+        vi = VerificationInterface(ConversationVerificationManager())
+        # If we already have dicts, build a lightweight VerificationRecord
+        if isinstance(r, dict):
+            rec = ConvVerificationRecord(
+                exchange_id=r.get("exchange_id") or r.get("record_id", ""),
+                exchange_number=r.get("exchange_number", 0),
+                user_message=r.get("user_message", ""),
+                assistant_response=r.get("assistant_response", ""),
+                original_classification=r.get("original_classification", ""),
+                original_confidence=r.get("original_confidence", 0.0),
+                original_indicators=r.get("original_indicators", []),
+                original_reasoning=r.get("original_reasoning", ""),
+                timestamp=r.get("timestamp"),
+                is_correct=r.get("is_correct"),
+                correct_classification=r.get("correct_classification"),
+                correction_reason=r.get("correction_reason"),
+                verifier_notes=r.get("verifier_notes"),
+            )
+        else:
+            rec = r
+        html = vi._render_exchange_review(rec)
+    
     # status badge
     cur_is_correct = (r.get("is_correct") if isinstance(r, dict) else getattr(r, "is_correct", None))
     if cur_is_correct is True:
@@ -1065,3 +1088,218 @@ def _nav_conv(records: list, idx: int, delta: int):
             }
             existing_classification = reverse_map.get(correct_class, "")
     return idx, html, pos, stats, row_upd, note_val, existing_classification
+
+
+# ============================================================================
+# NEW FUNCTIONS FOR SIMPLIFIED INTERFACE (Or_4.txt requirements)
+# ============================================================================
+
+def _generate_conv_verification_with_summary(session: SimplifiedSessionData):
+    """
+    Generate conversation verification with Provider Summary as the FINAL exchange.
+    
+    This addresses the customer requirement from Or_4.txt:
+    "Provider Summary to be the final exchange presented in that tab"
+    """
+    if session is None or not hasattr(session.app_instance, "conversation_logger"):
+        return None, [], 0, "❌ No session/conversation found", "", "", ""
+    if not session.app_instance.conversation_logger.entries:
+        return None, [], 0, "⚠️ No exchanges to verify yet", "", "", ""
+
+    manager = ConversationVerificationManager()
+    vs = manager.create_verification_session(session.app_instance.conversation_logger, "Medical Professional")
+
+    # Get patient phone from app if available
+    patient_phone = ""
+    if hasattr(session.app_instance, 'patient_info'):
+        patient_phone = session.app_instance.patient_info.get("phone") or ""
+    
+    meta = {
+        "session_id": vs.session_id,
+        "patient_name": vs.patient_name,
+        "patient_phone": patient_phone,
+        "verifier_name": vs.verifier_name,
+        "start_time": vs.start_time.isoformat() if hasattr(vs, "start_time") else None,
+    }
+
+    # Get provider summary if available (for RED cases)
+    provider_summary_text = ""
+    provider_summary_html = ""
+    has_red_flag = False
+    
+    if hasattr(session.app_instance, 'get_last_provider_summary'):
+        summary = session.app_instance.get_last_provider_summary()
+        if summary:
+            has_red_flag = True
+            if hasattr(session.app_instance, 'provider_summary_generator'):
+                # Use COHERENT NARRATIVE format (LLM-generated) instead of structured format
+                try:
+                    provider_summary_text = session.app_instance.provider_summary_generator.format_coherent_paragraph(summary)
+                    if not provider_summary_text:
+                        # Fallback to structured format
+                        provider_summary_text = session.app_instance.provider_summary_generator.format_for_export(summary)
+                except Exception as e:
+                    print(f"ERROR: Failed to generate coherent summary: {e}")
+                    provider_summary_text = session.app_instance.provider_summary_generator.format_for_export(summary)
+                
+                # Create HTML version for display
+                provider_summary_html = f"""
+<div style="background-color: #fff3cd; border-left: 4px solid #ffc107; padding: 1em; margin: 1em 0; border-radius: 4px;">
+    <h3 style="margin-top: 0; color: #856404;">📋 Provider Summary (Final Review)</h3>
+    <div style="background-color: white; padding: 1em; border-radius: 4px; margin-top: 0.5em;">
+        <pre style="white-space: pre-wrap; font-family: system-ui; margin: 0;">{provider_summary_text}</pre>
+    </div>
+    <p style="margin-bottom: 0; margin-top: 0.5em; font-size: 0.9em; color: #856404;">
+        <strong>Please review this summary and provide feedback if incorrect or incomplete.</strong>
+    </p>
+</div>
+"""
+
+    records_as_dicts = [
+        {
+            "exchange_id": r.exchange_id,
+            "exchange_number": r.exchange_number,
+            "record_id": r.exchange_id,
+            "timestamp": r.timestamp,
+            "user_message": r.user_message,
+            "assistant_response": r.assistant_response,
+            "original_classification": r.original_classification,
+            "original_confidence": r.original_confidence,
+            "original_indicators": r.original_indicators,
+            "original_reasoning": r.original_reasoning,
+            "is_correct": r.is_correct,
+            "correct_classification": r.correct_classification,
+            "correction_reason": r.correction_reason,
+            "verifier_notes": r.verifier_notes,
+            "provider_summary": "",  # Not shown in regular exchanges
+        }
+        for r in vs.verification_records
+    ]
+    
+    # ADD PROVIDER SUMMARY AS FINAL EXCHANGE (Or_4.txt requirement)
+    if has_red_flag and provider_summary_html:
+        final_exchange = {
+            "exchange_id": f"{vs.session_id}_provider_summary",
+            "exchange_number": len(records_as_dicts) + 1,
+            "record_id": f"{vs.session_id}_provider_summary",
+            "timestamp": datetime.now().isoformat(),
+            "user_message": "",
+            "assistant_response": "",
+            "original_classification": "PROVIDER_SUMMARY",
+            "original_confidence": 1.0,
+            "original_indicators": [],
+            "original_reasoning": "Provider Summary for Spiritual Care Team",
+            "is_correct": None,  # Needs review
+            "correct_classification": None,
+            "correction_reason": "",
+            "verifier_notes": "",
+            "provider_summary": provider_summary_text,
+            "provider_summary_html": provider_summary_html,
+        }
+        records_as_dicts.append(final_exchange)
+    
+    html, pos, stats = _render_conv_exchange(records_as_dicts, 0)
+    return meta, records_as_dicts, 0, f"✅ Generated session with {len(records_as_dicts)} exchanges (Provider Summary as final step)", html, pos, stats
+
+
+def _auto_save_verification_report(meta: dict, records: list, session: SimplifiedSessionData):
+    """
+    Auto-save verification report to a predefined location.
+    
+    This addresses the customer requirement from Or_4.txt:
+    "I would prefer a single button for automatically saving the report"
+    
+    Saves both JSON and CSV formats to a standard location.
+    """
+    try:
+        if not records:
+            return "⚠️ No verification data to save"
+        
+        # Create auto-save directory
+        auto_save_dir = os.path.join(os.getcwd(), "verification_reports")
+        os.makedirs(auto_save_dir, exist_ok=True)
+        
+        session_id = (meta or {}).get("session_id") or "unknown"
+        timestamp = datetime.utcnow().strftime('%Y%m%d_%H%M%S')
+        
+        # Save JSON
+        json_filename = f"report_{timestamp}_{session_id}.json"
+        json_path = os.path.join(auto_save_dir, json_filename)
+        
+        payload = {
+            **(meta or {}),
+            "verification_records": records or [],
+            "auto_saved_at": datetime.utcnow().isoformat(),
+        }
+        
+        with open(json_path, "w", encoding="utf-8") as f:
+            json.dump(payload, f, ensure_ascii=False, indent=2, default=str)
+        
+        # Save CSV
+        csv_filename = f"report_{timestamp}_{session_id}.csv"
+        csv_path = os.path.join(auto_save_dir, csv_filename)
+        
+        fieldnames = [
+            "session_id",
+            "patient_name",
+            "patient_phone",
+            "verifier_name",
+            "start_time",
+            "exchange_number",
+            "exchange_id",
+            "original_classification",
+            "original_confidence",
+            "is_correct",
+            "correct_classification",
+            "verifier_notes",
+            "user_message",
+            "assistant_response",
+            "provider_summary",
+        ]
+        
+        with open(csv_path, "w", encoding="utf-8", newline="") as f:
+            w = csv.DictWriter(f, fieldnames=fieldnames)
+            w.writeheader()
+            for r in records or []:
+                # Include provider_summary for all records (especially the final one)
+                provider_summary = r.get("provider_summary") or ""
+                
+                row = {
+                    "session_id": (meta or {}).get("session_id"),
+                    "patient_name": (meta or {}).get("patient_name"),
+                    "patient_phone": (meta or {}).get("patient_phone") or "",
+                    "verifier_name": (meta or {}).get("verifier_name"),
+                    "start_time": (meta or {}).get("start_time"),
+                    "exchange_number": r.get("exchange_number"),
+                    "exchange_id": r.get("exchange_id") or r.get("record_id"),
+                    "original_classification": r.get("original_classification"),
+                    "original_confidence": r.get("original_confidence"),
+                    "is_correct": r.get("is_correct"),
+                    "correct_classification": r.get("correct_classification") or "",
+                    "verifier_notes": r.get("verifier_notes") or "",
+                    "user_message": r.get("user_message"),
+                    "assistant_response": r.get("assistant_response"),
+                    "provider_summary": provider_summary,
+                }
+                w.writerow(row)
+        
+        return f"""✅ **Report Auto-Saved Successfully!**
+
+📁 **Location:** `{auto_save_dir}`
+
+📄 **Files:**
+- JSON: `{json_filename}`
+- CSV: `{csv_filename}`
+
+📊 **Summary:**
+- Total exchanges: {len(records)}
+- Reviewed: {sum(1 for r in records if r.get('is_correct') is not None)}
+- Correct: {sum(1 for r in records if r.get('is_correct') is True)}
+- Incorrect: {sum(1 for r in records if r.get('is_correct') is False)}
+"""
+        
+    except Exception as e:
+        import traceback
+        error_details = traceback.format_exc()
+        print(f"❌ Auto-save error: {error_details}")
+        return f"❌ **Auto-save failed:** {str(e)}"

tests/integration/test_integration.py

@@ -17,7 +17,7 @@ def test_integration():
         print("1. Testing imports...")
         from interface.enhanced_prompt_editor import EnhancedPromptEditor
         from config.prompt_management.prompt_controller import PromptController
-        from interface.simplified_gradio_app import main
+        from interface.gradio_app import main
         print("   ✓ All components import successfully")
         
         # Test 2: Initialize components

tests/test_conversation_verification_export.py

@@ -33,7 +33,7 @@ def test_conversation_verification_export_serializes_without_record_id(tmp_path,
 
     vs = _Session()
 
-    # This mirrors the payload schema in simplified_gradio_app.open_verification_window
+    # This mirrors the payload schema in gradio_app.open_verification_window
     payload = {
         "session_id": vs.session_id,
         "patient_name": vs.patient_name,

tests/test_ui_smoke.py

@@ -1,6 +1,6 @@
 import importlib
 
 
-def test_simplified_gradio_app_imports():
+def test_gradio_app_imports():
     """Smoke test: module should import without raising (catches Gradio API breaks)."""
-    importlib.import_module("src.interface.simplified_gradio_app")
+    importlib.import_module("src.interface.gradio_app")

tests/verification_mode/test_final_integration.py

@@ -16,7 +16,7 @@ import os
 from datetime import datetime
 from unittest.mock import Mock, patch, MagicMock
 
-from src.interface.simplified_gradio_app import create_simplified_interface
+from src.interface.gradio_app import create_simplified_interface
 from src.interface.verification_ui import VerificationUIComponents
 from src.core.verification_models import (
     VerificationSession,