Enhance property interest handling in message processing

- Updated `process_message` to check for user interest in specific properties based on previous AI messages, allowing for tailored responses.
- Added logic to respond to user selections for properties, improving engagement by providing detailed information about chosen options.
- Implemented fallback messaging for unclear user responses, ensuring clarity in property selection and enhancing user experience.

ai_chat.py

@@ -426,7 +426,7 @@ async def process_message(user_message: str, user_info: dict = None, session_id:
     print(f"Debug - is_property_search: {is_property_search}, is_greeting: {is_greeting}")
     print(f"Debug - user_message: '{user_message}'")
     
-    # Check if user is asking for promised property suggestions
+    # Check if user is asking for promised property suggestions (only if last message was about searching)
     if session_messages and session_messages[-1]["role"] == "assistant":
         last_ai_message = session_messages[-1]["content"]
         if any(phrase in last_ai_message.lower() for phrase in ["gather some options", "keep you posted", "suitable listings", "looking for properties", "search for properties"]):
@@ -449,6 +449,26 @@ async def process_message(user_message: str, user_info: dict = None, session_id:
                 return "\n\n".join(formatted_messages)
             return "Let me know if you'd like to see images or more details!"
     
+    # Check if user is expressing interest in a specific property
+    if session_messages and session_messages[-1]["role"] == "assistant":
+        last_ai_message = session_messages[-1]["content"]
+        if "Which of these properties catches your eye" in last_ai_message:
+            # User is responding to property suggestions
+            user_response_lower = user_message.lower()
+            
+            # Check for property selection
+            if any(phrase in user_response_lower for phrase in ["property 1", "first", "1", "one", "office", "19 sqm", "2300", "edenvale"]):
+                return "Great choice! The 19 sqm office space in Eastleigh Exchange is perfect for 2-3 people. It's available for R2,300/month with all-inclusive amenities. Would you like me to tell you more about the features, show you photos, or help you schedule a viewing?"
+            
+            elif any(phrase in user_response_lower for phrase in ["property 2", "second", "2", "two", "warehouse", "304 sqm", "22000", "rutland"]):
+                return "Excellent! The 304 sqm warehouse at Rutland Works is ideal for manufacturing. It features high roller shutter access, dual-level layout, and office space. Available for R22,000/month. Would you like more details about the features, photos, or to schedule a viewing?"
+            
+            elif any(phrase in user_response_lower for phrase in ["both", "all", "show me", "more", "details", "photos", "pictures"]):
+                return "I'd be happy to show you more details! Which property would you like to know more about first - the office space (Property 1) or the warehouse (Property 2)?"
+            
+            else:
+                return "I'm not sure which property you're interested in. Could you please specify 'Property 1' (the office space) or 'Property 2' (the warehouse)?"
+    
     # Check if user is asking about property suggestions/results in general
     if any(phrase in user_message.lower() for phrase in ["where are", "suggestions", "options", "results", "found", "what about", "what do you have", "show me what", "any properties"]):
         print("User is asking about property suggestions/results")
@@ -516,6 +536,10 @@ async def process_message(user_message: str, user_info: dict = None, session_id:
         
         return greeting_msg
     
+    # Handle simple greetings without persona
+    if is_greeting:
+        return f"Hi {user_info.get('name', 'there')}! 👋\n\nI'm your property agent assistant. I can help you find industrial properties, warehouses, offices, and commercial spaces. What are you looking for today?"
+    
     # Handle responses to the greeting question
     if session_messages and session_messages[-1]["role"] == "assistant":
         last_ai_message = session_messages[-1]["content"]