Remove Performance Reports tab and keep only About tab

app.py

@@ -467,125 +467,12 @@ if user_input and not st.session_state.is_processing:
         time.sleep(0.5)  # Brief pause
         st.experimental_rerun()
 
-# Add evaluation dashboard tab (separate from chat interface) - REMOVED AI Behavior Evaluator
+# Add evaluation dashboard tab (separate from chat interface) - ONLY ABOUT TAB NOW
 st.divider()
-# Changed from tab1, tab2, tab3 to tab1, tab2 (removing the evaluator tab)
-tab1, tab2 = st.tabs(["📊 Reports", "ℹ️ About"])
+# Only one tab now - About
+tab1, = st.tabs(["ℹ️ About"])
 
-# Changed with tab2: to with tab1:
 with tab1:
-    st.header("📊 Performance Reports")
-    st.markdown("System performance metrics and usage analytics.")
-    
-    # System status
-    st.subheader("System Status")
-    col1, col2, col3 = st.columns(3)
-    with col1:
-        try:
-            from services.ollama_monitor import check_ollama_status
-            ollama_status = check_ollama_status()
-            if ollama_status.get("running"):
-                st.success("🦙 Ollama: Running")
-            else:
-                st.warning("🦙 Ollama: Not running")
-        except:
-            st.info("🦙 Ollama: Unknown")
-    with col2:
-        try:
-            hf_status = hf_monitor.check_endpoint_status()
-            if hf_status['available']:
-                if hf_status.get('initialized', False):
-                    st.success("🤗 HF: Available & Initialized")
-                else:
-                    st.warning("⚡ HF: Initializing...")
-            else:
-                # Cat-themed unavailable message
-                st.info("😴 Kitty Napping")
-        except:
-            st.info("🤗 HF: Unknown")
-    with col3:
-        if check_redis_health():
-            st.success("💾 Redis: Connected")
-        else:
-            st.error("💾 Redis: Disconnected")
-            
-    # Session statistics
-    st.subheader("Session Statistics")
-    try:
-        user_session = session_manager.get_session("default_user")
-        conversation = user_session.get("conversation", [])
-        st.metric("Total Messages", len(conversation))
-        
-        coord_stats = user_session.get('ai_coordination', {})
-        if coord_stats:
-            st.metric("AI Requests Processed", coord_stats.get('requests_processed', 0))
-            st.metric("Ollama Responses", coord_stats.get('ollama_responses', 0))
-            st.metric("HF Responses", coord_stats.get('hf_responses', 0))
-        else:
-            st.info("No coordination statistics available yet.")
-    except Exception as e:
-        st.warning(f"Could not load session statistics: {translate_error(e)}")
-        
-    # Recent activity
-    st.subheader("Recent Activity")
-    try:
-        recent_activities = coordinator.get_recent_activities("default_user")
-        if recent_activities and recent_activities.get('last_request'):
-            st.markdown(f"**Last Request:** {recent_activities['last_request']}")
-            st.markdown(f"**Requests Processed:** {recent_activities['requests_processed']}")
-            st.markdown(f"**Ollama Responses:** {recent_activities['ollama_responses']}")
-            st.markdown(f"**HF Responses:** {recent_activities['hf_responses']}")
-        else:
-            st.info("No recent activity recorded.")
-    except Exception as e:
-        st.warning(f"Could not load recent activity: {translate_error(e)}")
-        
-    # Configuration summary
-    st.subheader("Configuration Summary")
-    st.markdown(f"**Environment:** {'HF Space' if config.is_hf_space else 'Local'}")
-    st.markdown(f"**Primary Model:** {config.local_model_name or 'Not set'}")
-    st.markdown(f"**Ollama Host:** {config.ollama_host or 'Not configured'}")
-    st.markdown(f"**Cosmic Mode:** {'Enabled' if st.session_state.cosmic_mode else 'Disabled'}")
-    
-    features = []
-    if config.use_fallback:
-        features.append("Fallback Mode")
-    if os.getenv("TAVILY_API_KEY"):
-        features.append("Web Search")
-    if config.openweather_api_key:
-        features.append("Weather Data")
-    st.markdown(f"**Active Features:** {', '.join(features) if features else 'None'}")
-    
-    # Conversation Analytics
-    st.subheader("📊 Conversation Analytics")
-    try:
-        user_session = session_manager.get_session("default_user")
-        conversation = user_session.get("conversation", [])
-        if conversation:
-            # Analyze conversation patterns
-            user_messages = [msg for msg in conversation if msg["role"] == "user"]
-            ai_messages = [msg for msg in conversation if msg["role"] == "assistant"]
-            
-            col1, col2, col3 = st.columns(3)
-            col1.metric("Total Exchanges", len(user_messages))
-            col2.metric("Avg Response Length", 
-                       round(sum(len(msg.get("content", "")) for msg in ai_messages) / len(ai_messages)) if ai_messages else 0)
-            col3.metric("Topics Discussed", 
-                       len(set(["life", "goal", "health", "career"]) & set(" ".join([msg.get("content", "") for msg in conversation]).lower().split())))
-            
-            # Show most common words/topics
-            all_text = " ".join([msg.get("content", "") for msg in conversation]).lower()
-            common_words = ["life", "goal", "health", "career", "productivity", "mindfulness"]
-            relevant_topics = [word for word in common_words if word in all_text]
-            if relevant_topics:
-                st.markdown(f"**Detected Topics:** {', '.join(relevant_topics)}")
-        else:
-            st.info("No conversation data available yet.")
-    except Exception as e:
-        st.warning(f"Could not analyze conversation: {translate_error(e)}")
-
-# Changed with tab3: to with tab2:
-with tab2:
     st.header("ℹ️ About CosmicCat AI Assistant")
     st.markdown("""
     The CosmicCat AI Assistant is a sophisticated conversational AI system with the following capabilities: