BREAKTHROUGH: Implement working MCP pattern with ChatInterface (no complex components)

app.py

@@ -1,150 +1,92 @@
 #!/usr/bin/env python3
 """
-Agent2Robot - Debug Step 8: Remove Explicit Value Parameters (Working Repo Pattern)
+Agent2Robot - MCP Hackathon 2024 Submission
+Following Working MCP Client Pattern
 """
 
+import os
+import datetime
 import gradio as gr
 
-# Step 8: Test removing explicit value parameters (following working repo pattern)
-with gr.Blocks(
-    title="🤖🚁 Agent2Robot - MCP Hackathon 2024",
-    theme=gr.themes.Soft(),
-    css="""
-    .gradio-button.primary {
-        background: linear-gradient(90deg, #667eea 0%, #764ba2 100%) !important;
-        border: none !important;
-        border-radius: 25px !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;
-    }
-    """
-) as demo:
-    
-    # HTML header component
-    gr.HTML("""
-    <div style="text-align: center; padding: 20px; background: linear-gradient(90deg, #667eea 0%, #764ba2 100%); color: white; border-radius: 10px; margin-bottom: 20px;">
-        <h1>🤖🚁 Agent2Robot Design Assistant</h1>
-        <p>Step 8: Remove Explicit Value Parameters (Working Repo Pattern)</p>
-        <p><strong>MCP Hackathon 2024 Submission</strong></p>
-    </div>
-    """)
+# Try to import our modules - fallback to mock if not available
+try:
+    from design_tools import VehicleDesigner
+    import main_orchestrator
+    MCP_AVAILABLE = True
+except ImportError:
+    MCP_AVAILABLE = False
+    print("MCP modules not available - using mock mode")
+
+# Current time for agent context
+time = datetime.datetime.now().astimezone().isoformat()
+
+SYSTEM_PROMPT = """You are an AI-powered vehicle design assistant specializing in robotics, drones, and autonomous vehicles. 
+You help users design and optimize vehicles through iterative processes including:
+- Requirements analysis and specification generation
+- Physics simulation and performance modeling  
+- Design optimization and validation
+- Technical documentation and downloads
+
+Be helpful, technical, and thorough in your responses.
+Current time (ISO 8601): {time}"""
+
+def agent_chat(message: str, history: list):
+    """Main chat function that processes user messages and returns responses"""
     
-    with gr.Row():
-        with gr.Column():
-            gr.Markdown("## Input Section")
-            
-            vehicle_type = gr.Dropdown(
-                choices=["Robot", "Drone", "Autonomous Vehicle", "Robotic Arm"],
-                label="🚀 Vehicle Type",
-                value="Robot"
-            )
-            
-            description = gr.Textbox(
-                label="📝 Design Requirements",
-                lines=6,
-                placeholder="Describe your requirements...",
-                value="Design a robot for warehouse navigation",
-                interactive=True,
-                show_copy_button=True
-            )
-            
-            generate_btn = gr.Button(
-                "🚀 Generate Design", 
-                variant="primary", 
-                size="lg"
-            )
-        
-        with gr.Column():
-            gr.Markdown("## Output Section")
-            
-            process_log = gr.Textbox(
-                label="Process Log", 
-                lines=10,
-                interactive=False
-            )
+    if not MCP_AVAILABLE:
+        # Mock response when MCP is not available
+        return f"🤖 **Agent2Robot Design Assistant**\n\n**Your Request:** {message}\n\n**Mock Response:**\nI would help you design a {message.lower()} vehicle with the following approach:\n\n1. **📋 Requirements Analysis**\n   - Parse your specifications\n   - Identify key performance metrics\n\n2. **🎯 Design Generation**\n   - Create initial specifications\n   - Apply engineering constraints\n\n3. **📊 Simulation & Validation**\n   - Run physics simulations\n   - Optimize performance\n\n4. **📁 Final Deliverables**\n   - Complete technical specifications\n   - Performance reports\n   - Download packages\n\n*Note: MCP server integration will be available when properly configured.*"
     
-    # JSON components - CRITICAL CHANGE: Remove explicit value parameters
-    with gr.Row():
-        with gr.Column():
-            gr.Markdown("### Current Specs (JSON)")
-            current_specs_output = gr.JSON(
-                label="Current Design",
-                elem_classes=["current-specs"]
-                # NO value parameter - let Gradio use default!
-            )
+    # Real MCP integration when available
+    try:
+        # Format message with system prompt and history
+        formatted_message = f"{SYSTEM_PROMPT.format(time=time)}\n"
+        formatted_message += "\n".join([f"{x['role']}: {x['content']}" for x in history])
+        formatted_message += f"\nUser Request: {message}"
         
-        with gr.Column():
-            gr.Markdown("### Final Specs (JSON)")
-            final_specs_output = gr.JSON(
-                label="Final Design",
-                elem_classes=["final-specs"]
-                # NO value parameter - let Gradio use default!
-            )
-    
-    # File component - CRITICAL CHANGE: Remove explicit value parameter
-    with gr.Row():
-        with gr.Column():
-            gr.Markdown("### Download Section")
-            
-            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 Specs",
-                file_count="single",
-                interactive=False,
-                visible=False
-                # NO value parameter - let Gradio use default!
-            )
-    
-    # Generator function
-    def test_generator(vehicle_type, description):
-        """Simple test generator to verify function connection works"""
-        import time
+        # Process through main orchestrator
+        result = ""
+        for update in main_orchestrator.process_design_request("Robot", message):
+            if update.get("process_log"):
+                result += update["process_log"] + "\n"
+            if update.get("final_specs"):
+                result += f"\n**Final Specifications:**\n{update['final_specs']}\n"
         
-        steps = [
-            f"🚀 Starting design for {vehicle_type}...",
-            f"📝 Processing: {description[:50]}...",
-            "🔄 Generating specifications...",
-            "📊 Creating final design...",
-            "✅ Complete!"
-        ]
+        return result if result else "Design process completed successfully!"
         
-        for i, step in enumerate(steps):
-            time.sleep(0.5)  # Simulate processing
-            
-            current_spec = {"step": i+1, "vehicle": vehicle_type} if i < 3 else None
-            final_spec = {"vehicle_type": vehicle_type, "status": "completed"} if i == len(steps)-1 else {}
-            
-            yield [
-                step,  # process_log
-                current_spec,  # current_specs_output  
-                final_spec,  # final_specs_output
-                None  # download_file_output
-            ]
+    except Exception as e:
+        return f"🚨 **Error:** {str(e)}\n\nFalling back to mock mode. Please check MCP server configuration."
+
+# Create the main interface following working pattern
+chat_interface = gr.ChatInterface(
+    fn=agent_chat,
+    type="messages",
+    examples=[
+        "Design a warehouse robot for package delivery with 50kg payload capacity",
+        "Create a drone for aerial surveillance with 2-hour flight time",
+        "Design an autonomous vehicle for urban navigation",
+        "Build a robotic arm for precision manufacturing tasks"
+    ],
+    title="🤖🚁 Agent2Robot - AI Vehicle Design Assistant",
+    description="""
+    **MCP Hackathon 2024 Submission**
+    
+    AI-powered vehicle design assistant with real-time specification generation, 
+    physics simulation, and optimization. Supports robots, drones, autonomous vehicles, and more.
     
-    # Connect the function to the button
-    generate_btn.click(
-        fn=test_generator,
-        inputs=[vehicle_type, description],
-        outputs=[
-            process_log,
-            current_specs_output,
-            final_specs_output,
-            download_file_output
-        ]
-    )
+    **Features:**
+    • 🎯 Intelligent requirements analysis
+    • 🔄 Iterative design optimization  
+    • 📊 Physics simulation and validation
+    • 📁 Complete technical documentation
+    • 💾 Downloadable specifications
+    """,
+    theme=gr.themes.Soft()
+)
 
-demo.launch() 
+# Main execution following working pattern
+if __name__ == "__main__":
+    chat_interface.launch()
+else:
+    # For HuggingFace Spaces automatic detection
+    demo = chat_interface