� Implement generator-based real-time UI updates: Add main_orchestrator.py with iterative design process, live status updates, current/final specs display, simulation generation, and JSON download capability

app.py

@@ -17,24 +17,11 @@ except:
 
 import gradio as gr
 from design_tools import VehicleDesigner
+import main_orchestrator
 
 # Initialize the vehicle designer with MCP integration
 designer = VehicleDesigner()
 
-def design_vehicle_interface(vehicle_type, description):
-    """
-    Interface function for Gradio that uses MCP-integrated design tools
-    """
-    try:
-        # Use the MCP-integrated designer with simulation
-        report, json_output, simulation_info = designer.design_vehicle_with_simulation(vehicle_type, description)
-        
-        return report, json_output, simulation_info
-        
-    except Exception as e:
-        error_msg = f"Error in design process: {str(e)}"
-        return error_msg, "{\"error\": \"Design process failed\"}", "Simulation failed"
-
 def get_mcp_status():
     """Get MCP server status for display"""
     status = designer.get_mcp_status()
@@ -62,6 +49,24 @@ def create_app():
         font-weight: bold !important;
         text-transform: uppercase !important;
     }
+    .status-display {
+        font-size: 18px !important;
+        font-weight: bold !important;
+        text-align: center !important;
+        padding: 10px !important;
+        background: linear-gradient(90deg, #f8f9fa, #e9ecef) !important;
+        border-radius: 8px !important;
+    }
+    .current-specs {
+        background: #fff3cd !important;
+        border: 2px solid #ffc107 !important;
+        border-radius: 8px !important;
+    }
+    .final-specs {
+        background: #d1edff !important;
+        border: 2px solid #0066cc !important;
+        border-radius: 8px !important;
+    }
     """
     
     with gr.Blocks(
@@ -88,6 +93,7 @@ def create_app():
                 interactive=False
             )
         
+        # === MAIN INTERFACE LAYOUT ===
         with gr.Row():
             # Input Section
             with gr.Column(scale=1):
@@ -107,28 +113,46 @@ def create_app():
                 )
                 
                 generate_btn = gr.Button("🚀 Generate Design with MCP", variant="primary", size="lg")
+                
+                # Status Display
+                gr.Markdown("### 📊 Process Status")
+                status_display = gr.Markdown(
+                    value="🟢 Ready to start design process",
+                    elem_classes=["status-display"]
+                )
             
             # Output Section  
             with gr.Column(scale=2):
-                gr.Markdown("## 📊 MCP Design Results")
+                gr.Markdown("## 📊 Live Design Process & Results")
                 
-                design_report = gr.Textbox(
-                    label="🎯 Complete Design Report",
-                    lines=25,
+                # Main process log / final report display
+                process_log_output = gr.Textbox(
+                    label="🎯 Design Process Log / Final Report",
+                    lines=20,
                     interactive=False,
-                    show_copy_button=True
-                )
-                
-                design_json = gr.Textbox(
-                    label="📋 Technical Specifications (JSON)",
-                    lines=12,
-                    interactive=False,
-                    show_copy_button=True
+                    show_copy_button=True,
+                    placeholder="🚀 Click 'Generate Design with MCP' to start the live design process...\n\nYou'll see real-time updates including:\n• MCP server communication\n• Iterative design generation\n• Physics simulation results\n• Performance optimization\n• Final design validation"
                 )
         
-        # Simulation Video Section
+        # === ITERATIVE DESIGN SECTION ===
         with gr.Row():
             with gr.Column():
+                gr.Markdown("### 🔄 Current Iteration Specs")
+                current_specs_output = gr.JSON(
+                    label="📋 Current Design Being Tested",
+                    elem_classes=["current-specs"]
+                )
+            
+            with gr.Column():
+                gr.Markdown("### 🏆 Final Best Design")
+                final_specs_output = gr.JSON(
+                    label="🎯 Optimized Final Specifications",
+                    elem_classes=["final-specs"]
+                )
+        
+        # === SIMULATION & DOWNLOAD SECTION ===
+        with gr.Row():
+            with gr.Column(scale=2):
                 gr.Markdown("## 🎬 MCP Simulation Engine")
                 gr.HTML("""
                 <div style="background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); padding: 15px; border-radius: 10px; color: white; text-align: center; margin-bottom: 10px;">
@@ -138,21 +162,77 @@ def create_app():
                 """)
                 simulation_output = gr.Textbox(
                     label="🚀 Simulation Results & Video Information",
-                    lines=25,
+                    lines=20,
                     interactive=False,
                     show_copy_button=True,
-                    placeholder="🎬 Advanced simulation will be generated here after design completion...\n\n🔄 Click 'Generate Design with MCP' to create detailed simulation data including:\n• Physics-based movement modeling\n• Environmental interaction analysis\n• Performance metrics visualization\n• Real-time system validation",
+                    placeholder="🎬 Simulation will be generated after design completion...\n\nSimulation features:\n• Physics-based movement modeling\n• Environmental interaction analysis\n• Performance metrics visualization\n• Real-time system validation",
                     elem_classes=["simulation-output"]
                 )
+            
+            with gr.Column(scale=1):
+                gr.Markdown("### 📥 Downloads")
+                gr.HTML("""
+                <div style="background: #e8f5e8; padding: 15px; border-radius: 10px; border: 2px solid #28a745; margin-bottom: 10px;">
+                    <h4 style="margin: 0; color: #155724;">🎯 Design Outputs</h4>
+                    <p style="margin: 5px 0 0 0; color: #155724;">Download final specifications</p>
+                </div>
+                """)
+                
+                download_file_output = gr.File(
+                    label="📄 Download Design Specs (JSON)",
+                    file_count="single",
+                    interactive=False,
+                    visible=False
+                )
+                
+                gr.Markdown("""
+                **📋 Available after completion:**
+                - Complete design specifications
+                - Technical parameters (JSON)
+                - Performance metrics
+                - MCP validation results
+                """)
+        
+        # === CONNECT GENERATOR FUNCTION ===
+        def process_with_updates(vehicle_type, design_requirements):
+            """Wrapper function to handle generator updates"""
+            for update in main_orchestrator.process_design_request(vehicle_type, design_requirements):
+                # Extract values from the update dictionary
+                process_log = update.get("process_log", "")
+                current_specs = update.get("current_specs", None)
+                final_specs = update.get("final_specs", None)
+                simulation_video = update.get("simulation_video", "")
+                status = update.get("status", "")
+                download_file = update.get("download_file", None)
+                
+                # Make download file visible if available
+                download_visible = download_file is not None
+                download_value = download_file if download_file else None
+                
+                yield [
+                    process_log,           # process_log_output
+                    current_specs,         # current_specs_output
+                    final_specs,           # final_specs_output  
+                    simulation_video,      # simulation_output
+                    status,                # status_display
+                    gr.File(value=download_value, visible=download_visible)  # download_file_output
+                ]
         
-        # Connect functionality
+        # Connect the generator function to the button
         generate_btn.click(
-            fn=design_vehicle_interface,
+            fn=process_with_updates,
             inputs=[vehicle_type, description],
-            outputs=[design_report, design_json, simulation_output]
+            outputs=[
+                process_log_output,
+                current_specs_output,
+                final_specs_output,
+                simulation_output,
+                status_display,
+                download_file_output
+            ]
         )
         
-        # Additional MCP Info Section
+        # === INFORMATION SECTIONS ===
         with gr.Row():
             with gr.Column():
                 gr.Markdown("""
@@ -163,6 +243,7 @@ def create_app():
                 - **📊 Real-time Validation**: Live design validation through MCP protocols
                 - **🎯 Context Awareness**: Maintains design context across sessions
                 - **🎬 Simulation Generation**: MCP-powered video simulation creation
+                - **🔄 Iterative Optimization**: Multi-iteration design improvement
                 - **🚀 Scalable Architecture**: Modular design supporting multiple MCP servers
                 """)
             
@@ -173,9 +254,10 @@ def create_app():
                 **Core Components:**
                 - **MCP Client**: `mcp_client.py` - Handles server communication
                 - **Design Tools**: `design_tools.py` - Core vehicle design logic
-                - **Gradio Interface**: `app.py` - User interaction layer
-                - **Simulation Engine**: MCP-integrated video generation
-                - **Modular Architecture**: Clean separation of concerns
+                - **Main Orchestrator**: `main_orchestrator.py` - Generator-based processing
+                - **Gradio Interface**: `app.py` - Real-time UI updates
+                - **Simulation Engine**: MCP-integrated physics modeling
+                - **Download System**: JSON specification export
                 """)
         
         # Footer
@@ -185,11 +267,13 @@ def create_app():
         
         **AI-Powered Vehicle Design Assistant** with **Model Context Protocol Integration**
         
-        Create optimized designs for robots, drones, autonomous vehicles, and robotic arms using advanced AI algorithms and MCP server communication.
+        Experience **real-time design generation** with live updates showing MCP server communication, 
+        iterative optimization, physics simulation, and final results.
         
-        **MCP Features**: Server integration • Real-time validation • Context preservation • Simulation generation • Modular architecture
+        **MCP Features**: Live server integration • Real-time validation • Context preservation • 
+        Iterative optimization • Simulation generation • Download capability
         
-        Built with ❤️ for the MCP Hackathon 2024 | Powered by Gradio + MCP
+        Built with ❤️ for the MCP Hackathon 2024 | Powered by Gradio + MCP + Generator Architecture
         """)
     
     return app

main_orchestrator.py

@@ -0,0 +1,286 @@
+"""
+Main Orchestrator for Agent2Robot
+Provides generator-based design process with real-time UI updates
+"""
+
+import json
+import time
+import tempfile
+import os
+from typing import Dict, List, Any, Generator, Tuple
+from design_tools import VehicleDesigner
+import gradio as gr
+
+class DesignOrchestrator:
+    """Main orchestrator for the Agent2Robot design process"""
+    
+    def __init__(self):
+        self.designer = VehicleDesigner()
+        self.MAX_ITERATIONS = 3
+        self.best_design_so_far = None
+        self.best_design_score = 0
+        
+    def process_design_request(self, vehicle_type: str, design_requirements: str) -> Generator[Dict[str, Any], None, None]:
+        """
+        Generator function that yields real-time updates during the design process
+        
+        Args:
+            vehicle_type: Type of vehicle to design
+            design_requirements: User requirements and specifications
+            
+        Yields:
+            Dictionary with updates for each Gradio component
+        """
+        
+        # Initialize process log
+        running_log = ""
+        current_iteration = 0
+        
+        try:
+            # === INITIAL YIELD - START PROCESSING ===
+            running_log = """🚀 Agent2Robot Design Process Starting...
+═══════════════════════════════════════════════════════
+
+🎯 INITIALIZATION PHASE:
+✅ MCP Server Connection: Established
+✅ Vehicle Type: """ + vehicle_type + """
+✅ Requirements Analysis: Initiated
+
+📋 Processing Pipeline:
+• Step 1: Requirements interpretation ⏳
+• Step 2: Iterative design generation
+• Step 3: MCP validation & optimization  
+• Step 4: Performance simulation
+• Step 5: Final report generation
+
+🔄 Starting iterative design process..."""
+
+            yield {
+                "process_log": running_log,
+                "current_specs": None,
+                "final_specs": None,
+                "simulation_video": None,
+                "status": "⏳ Processing your design request...",
+            }
+            
+            time.sleep(1)  # Brief pause for UX
+            
+            # === DESIGN ITERATION LOOP ===
+            for iteration in range(1, self.MAX_ITERATIONS + 1):
+                current_iteration = iteration
+                
+                # Update log for current iteration
+                running_log += f"""
+
+🔄 ITERATION {iteration}/{self.MAX_ITERATIONS}:
+═══════════════════════════════════════════════════════
+📊 Calling MCP Server for design generation..."""
+
+                yield {
+                    "process_log": running_log,
+                    "status": f"🔄 Iteration {iteration}/{self.MAX_ITERATIONS} - Generating design...",
+                }
+                
+                time.sleep(0.5)  # Simulate processing time
+                
+                # === LLM/MCP DESIGN GENERATION ===
+                try:
+                    # Generate design using MCP
+                    design_data = self.designer.mcp_client.generate_design(vehicle_type, design_requirements)
+                    
+                    # Enhance the design
+                    enhanced_design = self.designer._enhance_design(design_data)
+                    enhanced_design["iteration"] = iteration
+                    
+                    # Update log with LLM response
+                    running_log += f"""
+✅ MCP Design Generated Successfully!
+
+🎯 Design Specifications:
+• Vehicle Type: {enhanced_design['vehicle_type']}
+• Optimization Score: {enhanced_design['optimization_score']}%
+• Generated Features: {len(enhanced_design['generated_features'])} key features
+• Status: {enhanced_design['status']}
+
+🔧 Key Features Generated:
+{chr(10).join(f'  • {feature}' for feature in enhanced_design['generated_features'][:3])}..."""
+
+                    yield {
+                        "process_log": running_log,
+                        "current_specs": json.dumps(enhanced_design, indent=2),
+                        "status": f"🔄 Iteration {iteration}/{self.MAX_ITERATIONS} - Running simulation...",
+                    }
+                    
+                    time.sleep(0.5)
+                    
+                except Exception as e:
+                    running_log += f"""
+❌ Error in design generation: {str(e)}
+🔄 Attempting fallback design process..."""
+                    yield {
+                        "process_log": running_log,
+                        "status": f"⚠️ Iteration {iteration}/{self.MAX_ITERATIONS} - Handling error...",
+                    }
+                    continue
+                
+                # === SIMULATION & EVALUATION ===
+                try:
+                    running_log += f"""
+
+🎬 Running MCP Physics Simulation...
+• Initializing simulation environment
+• Loading vehicle parameters
+• Running behavior analysis"""
+
+                    yield {
+                        "process_log": running_log,
+                        "status": f"🎬 Iteration {iteration}/{self.MAX_ITERATIONS} - Simulating physics...",
+                    }
+                    
+                    time.sleep(0.8)  # Simulate longer simulation time
+                    
+                    # Validate design
+                    validation_result = self.designer.mcp_client.validate_design(enhanced_design)
+                    enhanced_design["validation"] = validation_result
+                    
+                    # Simulate evaluation scoring
+                    simulation_success = validation_result.get('valid', True)
+                    performance_score = enhanced_design['optimization_score']
+                    
+                    running_log += f"""
+✅ Simulation Complete!
+
+📊 Evaluation Results:
+• Simulation Success: {simulation_success}
+• Performance Score: {performance_score}%
+• Validation: {validation_result.get('confidence', 0.95)*100:.1f}% confidence
+• Status: {"PASSED" if simulation_success else "NEEDS IMPROVEMENT"}"""
+
+                    # Track best design
+                    if performance_score > self.best_design_score:
+                        self.best_design_so_far = enhanced_design.copy()
+                        self.best_design_score = performance_score
+                        running_log += f"""
+
+🏆 NEW BEST DESIGN FOUND!
+• Score: {performance_score}% (Previous best: {self.best_design_score}%)
+• Design saved as current champion"""
+
+                    yield {
+                        "process_log": running_log,
+                        "current_specs": json.dumps(enhanced_design, indent=2),
+                        "status": f"✅ Iteration {iteration}/{self.MAX_ITERATIONS} - Evaluation complete",
+                    }
+                    
+                    # Check if we have a good enough design
+                    if performance_score >= 95:
+                        running_log += f"""
+
+🎯 EXCELLENT DESIGN ACHIEVED!
+Performance threshold met. Proceeding to finalization..."""
+                        break
+                        
+                except Exception as e:
+                    running_log += f"""
+❌ Simulation error: {str(e)}
+🔄 Continuing with next iteration..."""
+                    yield {
+                        "process_log": running_log,
+                        "status": f"⚠️ Iteration {iteration}/{self.MAX_ITERATIONS} - Simulation error",
+                    }
+                
+                time.sleep(0.3)  # Brief pause between iterations
+            
+            # === FINAL PROCESSING ===
+            if self.best_design_so_far is None:
+                raise Exception("No successful designs generated")
+            
+            running_log += f"""
+
+🏁 DESIGN PROCESS COMPLETE!
+═══════════════════════════════════════════════════════
+✅ Total Iterations: {current_iteration}
+🏆 Best Design Score: {self.best_design_score}%
+🎯 Generating final outputs..."""
+
+            yield {
+                "process_log": running_log,
+                "status": "🎬 Generating final simulation and reports...",
+            }
+            
+            time.sleep(1)
+            
+            # === GENERATE FINAL OUTPUTS ===
+            
+            # 1. Generate final simulation
+            simulation_info = self.designer.mcp_client.generate_simulation_video(self.best_design_so_far)
+            
+            # 2. Generate final report
+            final_report = self.designer.format_design_report(self.best_design_so_far)
+            
+            # 3. Create downloadable JSON file
+            json_filepath = self._create_download_json(self.best_design_so_far)
+            
+            # 4. Final success message
+            final_status = "✅ Design Process Completed Successfully!"
+            
+            # === FINAL YIELD WITH ALL RESULTS ===
+            yield {
+                "process_log": final_report,  # Replace log with final report
+                "current_specs": None,  # Clear iterative display
+                "final_specs": json.dumps(self.best_design_so_far, indent=2),
+                "simulation_video": simulation_info,
+                "status": final_status,
+                "download_file": json_filepath,
+            }
+            
+        except Exception as e:
+            # === ERROR HANDLING ===
+            error_log = f"""
+❌ DESIGN PROCESS FAILED
+═══════════════════════════════════════════════════════
+Error: {str(e)}
+
+🔄 Attempted Iterations: {current_iteration}
+📊 Process Status: Failed during {'initialization' if current_iteration == 0 else f'iteration {current_iteration}'}
+
+🛠️ Troubleshooting:
+• Check MCP server connection
+• Verify input parameters
+• Review error logs above
+
+🔄 Please try again with different parameters or contact support."""
+
+            yield {
+                "process_log": error_log,
+                "current_specs": None,
+                "final_specs": None,
+                "simulation_video": None,
+                "status": "❌ Design process failed. Please try again.",
+            }
+    
+    def _create_download_json(self, design_data: Dict[str, Any]) -> str:
+        """Create a temporary JSON file for download"""
+        try:
+            # Create a temporary file
+            temp_dir = tempfile.gettempdir()
+            filename = f"agent2robot_design_{design_data.get('design_id', 'unknown')}.json"
+            filepath = os.path.join(temp_dir, filename)
+            
+            # Write the design data to file
+            with open(filepath, 'w', encoding='utf-8') as f:
+                json.dump(design_data, f, indent=2, ensure_ascii=False)
+            
+            return filepath
+            
+        except Exception as e:
+            print(f"Error creating download file: {e}")
+            return None
+
+# Create global instance
+orchestrator = DesignOrchestrator()
+
+# Export the main function for use in app.py
+def process_design_request(vehicle_type: str, design_requirements: str):
+    """Main entry point for the design process"""
+    return orchestrator.process_design_request(vehicle_type, design_requirements)