Update app.py

app.py

@@ -228,14 +228,57 @@ with tab1:
             # 執行分析按鈕
             st.markdown("---")
             
-            if st.button("🚀 Run Analysis", type="primary", use_container_width=True):
+            col_btn1, col_btn2, col_btn3 = st.columns([2, 1, 1])
+            
+            with col_btn1:
+                run_button = st.button("🚀 Run Analysis", type="primary", use_container_width=True)
+            
+            with col_btn2:
+                if st.button("🔄 Reset", use_container_width=True):
+                    st.session_state.analysis_results = None
+                    st.session_state.model_trained = False
+                    st.session_state.chat_history = []
+                    st.rerun()
+            
+            with col_btn3:
+                with st.popover("ℹ️ Info"):
+                    st.markdown("""
+                    **Analysis Steps:**
+                    1. Split data (train/test)
+                    2. Learn network structure
+                    3. Process features (bins from train)
+                    4. Estimate parameters
+                    5. Evaluate performance
+                    
+                    **Note:** Test set bins are derived from training set to prevent data leakage.
+                    """)
+            
+            if run_button:
+                # 驗證
+                if not selected_features:
+                    st.error("❌ Please select at least one feature!")
+                    st.stop()
+                
+                if target_variable in selected_features:
+                    st.error("❌ Target variable cannot be in feature list!")
+                    st.stop()
+                
                 with st.spinner("🔄 Training Bayesian Network..."):
+                    progress_bar = st.progress(0)
+                    status_text = st.empty()
+                    
                     try:
                         # 初始化分析器
+                        status_text.text("📊 Initializing analyzer...")
+                        progress_bar.progress(10)
+                        
                         analyzer = BayesianNetworkAnalyzer(
                             session_id=st.session_state.session_id
                         )
                         
+                        status_text.text(f"📐 Learning {algorithm} structure...")
+                        progress_bar.progress(30)
+                        
                         # 執行分析
                         results = analyzer.run_analysis(
                             df=df,
@@ -251,16 +294,29 @@ with tab1:
                             n_bins=n_bins
                         )
                         
+                        status_text.text("✅ Analysis completed!")
+                        progress_bar.progress(100)
+                        
                         # 儲存結果
                         st.session_state.analysis_results = results
                         st.session_state.model_trained = True
                         
-                        st.success("✅ Analysis completed!")
+                        st.success("✅ Analysis completed successfully!")
+                        st.balloons()
+                        
+                        # 清空進度
+                        import time
+                        time.sleep(1)
+                        progress_bar.empty()
+                        status_text.empty()
+                        
                         st.rerun()
                         
                     except Exception as e:
                         st.error(f"❌ Error during analysis: {str(e)}")
                         st.exception(e)
+                        progress_bar.empty()
+                        status_text.empty()
     
     with col2:
         st.header("Quick Stats")
@@ -459,4 +515,4 @@ st.markdown(
     </div>
     """.format(st.session_state.session_id[:8]),
     unsafe_allow_html=True
-)
+)