Add version tracking (v2.0.0) and improve error handling for better user experience

CONVERSATION_IMPROVEMENTS.md

@@ -0,0 +1,78 @@
+# 🚀 Conversation Quality Improvements
+
+## 📋 Summary of Enhancements
+
+### 1. **Better AI Model** 🤖
+- **Upgraded from**: `DialoGPT-small`
+- **Upgraded to**: `DialoGPT-medium`
+- **Benefit**: More sophisticated responses, better understanding, improved conversational flow
+
+### 2. **Enhanced Response Generation** 🎯
+- **Temperature**: Increased to 0.8 (more creative and varied responses)
+- **Top-p**: Increased to 0.95 (more diverse token selection)
+- **Top-k**: Added 50 (limits to top 50 tokens for quality)
+- **Repetition Penalty**: Reduced to 1.1 (more natural flow)
+- **No Repeat N-grams**: Added size 3 (avoids repeating phrases)
+- **Truncation**: Enabled (prevents errors)
+
+### 3. **Improved Memory Context** 💾
+- **Memory Retrieval**: Increased from 3 to 5 memories
+- **Context Display**: Better formatting with numbered memories
+- **Context Integration**: More natural integration into conversation
+- **Memory Extraction**: Enhanced extraction with actual details
+
+### 4. **Natural Conversation Prompts** 💬
+- **Prompt Format**: More natural "The user says..." format
+- **Instructions**: Clear guidelines for helpful, conversational responses
+- **Memory Integration**: Better integration of relevant memories
+
+### 5. **Enhanced Memory Recording** 📝
+- **Name Extraction**: Extracts actual names from "my name is"
+- **Location Extraction**: Extracts actual locations from "i live in"
+- **Work/Study Details**: Extracts specific workplaces and fields of study
+- **Birthday Extraction**: Extracts actual birthday details
+- **Favorite Things**: Better extraction of favorite items/activities
+
+## 🎯 Expected Improvements
+
+### **Conversation Quality**
+- ✅ More natural and engaging responses
+- ✅ Better understanding of context
+- ✅ Reduced repetition and more varied responses
+- ✅ More creative and interesting conversations
+
+### **Memory System**
+- ✅ More detailed memory storage
+- ✅ Better memory retrieval and context
+- ✅ More accurate personal information extraction
+- ✅ Enhanced conversation history integration
+
+### **User Experience**
+- ✅ More human-like AI responses
+- ✅ Better memory recall and usage
+- ✅ Improved conversational flow
+- ✅ More personalized interactions
+
+## 🧪 Testing Your Improvements
+
+### **Test Conversation Quality**
+1. Ask complex questions
+2. Have multi-turn conversations
+3. Notice response variety and creativity
+4. Check for natural flow between responses
+
+### **Test Memory System**
+1. Share personal details: "My name is John"
+2. Share preferences: "I love pizza and hate mushrooms"
+3. Share locations: "I live in New York"
+4. Ask about previously shared information
+
+### **Compare Before/After**
+- **Before**: Basic, repetitive responses
+- **After**: Engaging, varied, context-aware responses
+
+## 🚀 Your Space is Now Live!
+
+**URL**: https://emolivera-memorychat.hf.space
+
+The improvements are now deployed and active. Your Memory Chat application should provide significantly better conversation quality and more engaging interactions!

app.py

@@ -7,6 +7,9 @@ from rich.console import Console
 
 console = Console()
 
+# Version tracking
+APP_VERSION = "v2.0.0 - Enhanced Conversation Quality"
+
 class MemoryChatApp:
     """Main application that combines memory management with Hugging Face chat."""
 
@@ -115,7 +118,7 @@ class MemoryChatApp:
         """
         # Check if model is available
         if not self.chat_interface.check_model_availability():
-            return "I'm sorry, but I couldn't load the AI model. Please check your internet connection."
+            return "I'm sorry, but I couldn't load the AI model. Please check your internet connection and model availability."
 
         # Add user input to conversation history
         self.conversation_history.append({"role": "user", "content": user_input})
@@ -218,15 +221,19 @@ Your response: """
         return f"""
 ## Model Information
 
+**App Version:** {APP_VERSION}
 **Model:** {info['model_name']}
 **Device:** {info['device']}
 **Available:** {'Yes' if info['available'] else 'No'}
+
+*If the model is not available, responses will be limited.*
 """
 
     def run_gradio_interface(self):
         """Run the Gradio interface."""
         with gr.Blocks(title="Memory Chat") as demo:
-            gr.Markdown("# 🤖 Memory Chat with Hugging Face")
+            gr.Markdown(f"# 🤖 Memory Chat with Hugging Face")
+            gr.Markdown(f"**Version: {APP_VERSION}**")
 
             with gr.Tab("Chat"):
                 chatbot = gr.Chatbot()

chat_interface.py

@@ -63,7 +63,7 @@ class HuggingFaceChat:
             The generated response
         """
         if not self.chatbot:
-            return "I'm sorry, but I couldn't load the model. Please check your internet connection and model availability."
+            return "I'm sorry, but I couldn't load the AI model. This might be due to:\n1. Model loading issues\n2. Internet connection problems\n3. Server maintenance\n\nPlease try again in a few minutes."
 
         try:
             # Generate response with improved parameters for better quality
@@ -91,11 +91,15 @@ class HuggingFaceChat:
             # Remove any incomplete sentences or hanging punctuation
             generated_text = self._clean_response(generated_text)
 
+            # If response is empty or too short, provide a helpful message
+            if not generated_text or len(generated_text.strip()) < 5:
+                return "I'm processing your message. Could you please try again or rephrase your question?"
+
             return generated_text
 
         except Exception as e:
             console.print(f"[red]Error generating response: {e}[/red]")
-            return "I'm sorry, but I encountered an error while generating a response."
+            return f"I'm experiencing technical difficulties. Error: {str(e)[:100]}..."
 
     def _clean_response(self, text: str) -> str:
         """Clean up the generated response."""