update

app.py

@@ -1,73 +1,73 @@
 #!/usr/bin/env python3
 """
 Hugging Face Spaces deployment for Residential Architecture Assistant
-Simplified version to avoid schema issues
+Standalone version that completely avoids LangGraph imports until needed
 """
 
-import os
 import gradio as gr
-import traceback
-from typing import List, Tuple
 
-# Create a minimal interface without complex imports to avoid schema issues
-def create_simple_interface():
-    """Create a simple Gradio interface that works reliably in HF Spaces"""
+def create_interface():
+    """Create interface that works reliably in HF Spaces"""
     
-    def handle_message(message: str, history: List[List[str]], api_key: str) -> Tuple[List[List[str]], str]:
-        """Simple message handler"""
+    def handle_chat(message, history, api_key):
+        if not api_key or not api_key.strip():
+            error_msg = "❌ Please provide your OpenAI API key to start using the Architecture Assistant."
+            history.append([message, error_msg])
+            return history, ""
+        
+        if not message.strip():
+            return history, ""
+        
         try:
-            if not api_key or not api_key.strip():
-                error_msg = "❌ Please provide your OpenAI API key to start using the Architecture Assistant."
-                history.append([message, error_msg])
-                return history, ""
-                
-            if not message.strip():
-                return history, ""
+            # Only import when actually used
+            from graph import ArchitectureAssistant
+            
+            assistant = ArchitectureAssistant(
+                openai_api_key=api_key.strip(),
+                user_id=f"hf_user_{len(history)}"
+            )
+            
+            response = assistant.chat(message)
+            history.append([message, response])
             
-            # Try to import and use the actual system
-            try:
-                from graph import ArchitectureAssistant
-                
-                # Create assistant instance
-                assistant = ArchitectureAssistant(
-                    openai_api_key=api_key.strip(),
-                    user_id=f"hf_user_{len(history)}"
-                )
-                
-                # Get response
-                response = assistant.chat(message)
-                history.append([message, response])
-                
-            except Exception as e:
-                # Fallback error handling
-                error_msg = f"""❌ **System Error**: {str(e)}
+        except ImportError as e:
+            error_msg = f"""❌ **Import Error**: {str(e)}
 
-**Possible Solutions:**
-1. **Check your OpenAI API key** - Make sure it's valid and has sufficient credits
-2. **Try again** - Sometimes there are temporary connection issues
-3. **Simpler questions** - Start with basic architecture questions
+**The system modules couldn't be loaded.** This might be due to:
+1. Missing dependencies in the Hugging Face Space
+2. Package compatibility issues
 
-**This is a multi-agent LangGraph system** that provides:
-- 🏛️ **Architecture design guidance**
-- 💰 **Montreal market cost analysis** 
-- 📐 **Professional floorplan generation**
-- 📋 **Building codes & permit requirements**
+**This should be the Residential Architecture Assistant** with:
+- 🏛️ Architecture design guidance  
+- 💰 Montreal market cost analysis
+- 📐 Professional floorplan generation
+- 📋 Building codes & permit requirements
 
-Please try your question again, or contact support if the issue persists."""
-                
-                history.append([message, error_msg])
-                
-            return history, ""
+Please contact the space administrator to resolve the import issues."""
+            
+            history.append([message, error_msg])
             
         except Exception as e:
-            # Final fallback
-            error_msg = f"❌ Unexpected error: {str(e)}"
+            error_msg = f"""❌ **System Error**: {str(e)}
+
+**Troubleshooting:**
+1. **Check your OpenAI API key** - Ensure it's valid and has credits
+2. **Try a simpler question** - Start with basic architecture questions
+3. **Wait and retry** - There might be temporary connectivity issues
+
+**Expected functionality:**
+- Multi-agent architecture consultation
+- Montreal-specific building analysis
+- Professional floorplan generation
+- Building code guidance
+
+Please try again or contact support if issues persist."""
+            
             history.append([message, error_msg])
-            return history, ""
-    
-    # Create interface with minimal components
-    with gr.Blocks(title="🏠 Architecture Assistant") as demo:
         
+        return history, ""
+    
+    with gr.Blocks(title="🏠 Architecture Assistant") as interface:
         gr.HTML("""
         <div style="text-align: center; padding: 20px;">
             <h1>🏠 Residential Architecture Assistant</h1>
@@ -76,15 +76,13 @@ Please try your question again, or contact support if the issue persists."""
         </div>
         """)
         
-        # API Key input
         api_key = gr.Textbox(
-            label="🔑 OpenAI API Key",
-            placeholder="Enter your OpenAI API key (sk-...)",
+            label="🔑 OpenAI API Key", 
             type="password",
+            placeholder="Enter your OpenAI API key (sk-...)",
             info="Required for AI functionality. Not stored or logged."
         )
         
-        # Chat interface
         chatbot = gr.Chatbot(
             label="💬 Architecture Consultation",
             height=400
@@ -96,53 +94,51 @@ Please try your question again, or contact support if the issue persists."""
             lines=2
         )
         
-        # Buttons
         with gr.Row():
             send_btn = gr.Button("📤 Send", variant="primary")
             clear_btn = gr.Button("🔄 Clear", variant="secondary")
         
-        # Examples
         gr.HTML("""
-        <div style="margin: 20px; padding: 15px; background: #f0f0f0; border-radius: 10px;">
-            <h4>💡 Try these example questions:</h4>
-            <ul>
+        <div style="background: #f8f9fa; padding: 15px; margin: 20px 0; border-radius: 8px;">
+            <h4>💡 Example Questions:</h4>
+            <ul style="margin: 10px 0;">
                 <li>"I want to design a home but don't know where to start"</li>
                 <li>"I have a $800,000 budget for Montreal - is that realistic?"</li>
+                <li>"We're a family of 4, what size house do we need?"</li>
                 <li>"Can you generate a floorplan for a 2500 sq ft house?"</li>
-                <li>"What permits do I need in Montreal?"</li>
+                <li>"What building permits do I need in Montreal?"</li>
+            </ul>
+            
+            <h4>🤖 Our AI Specialists:</h4>
+            <ul style="margin: 10px 0;">
+                <li><strong>RouterAgent:</strong> Intelligent conversation routing</li>
+                <li><strong>GeneralDesignAgent:</strong> Architecture principles & design guidance</li>
+                <li><strong>BudgetAnalysisAgent:</strong> Montreal market cost analysis</li>
+                <li><strong>FloorplanAgent:</strong> Spatial planning & requirements</li>
+                <li><strong>FloorplanGeneratorAgent:</strong> Detailed architectural specifications</li>
+                <li><strong>DetailedBudgetAgent:</strong> Comprehensive cost breakdowns</li>
+                <li><strong>RegulationAgent:</strong> Montreal building codes & permits</li>
             </ul>
         </div>
         """)
         
         # Event handlers
-        msg.submit(
-            handle_message,
-            inputs=[msg, chatbot, api_key],
-            outputs=[chatbot, msg]
-        )
-        
-        send_btn.click(
-            handle_message,
-            inputs=[msg, chatbot, api_key],
-            outputs=[chatbot, msg]
-        )
-        
-        clear_btn.click(
-            lambda: ([], ""),
-            outputs=[chatbot, msg]
-        )
+        msg.submit(handle_chat, [msg, chatbot, api_key], [chatbot, msg])
+        send_btn.click(handle_chat, [msg, chatbot, api_key], [chatbot, msg])
+        clear_btn.click(lambda: ([], ""), outputs=[chatbot, msg])
         
-        # Footer
         gr.HTML("""
-        <div style="text-align: center; padding: 20px; margin-top: 30px; border-top: 1px solid #ddd;">
-            <p><strong>🏠 Residential Architecture Assistant</strong></p>
-            <p>Multi-Agent LangGraph System • Built with Gradio</p>
+        <div style="text-align: center; padding: 20px; border-top: 1px solid #ddd; margin-top: 20px;">
+            <p><strong>🏠 Residential Architecture Assistant v3.0</strong></p>
+            <p>Built with <a href="https://langchain.ai/langgraph">LangGraph</a> • 
+               Powered by <a href="https://openai.com">OpenAI</a> • 
+               Interface by <a href="https://gradio.app">Gradio</a></p>
+            <p><em>Professional architecture consultation from concept to construction</em></p>
         </div>
         """)
     
-    return demo
+    return interface
 
-# Launch the interface
 if __name__ == "__main__":
-    demo = create_simple_interface()
+    demo = create_interface()
     demo.launch()