Update app_improved.py

app_improved.py

@@ -377,7 +377,53 @@ with gr.Blocks(title="🎯 Telco Churn Predictor - 93% AUC Production Model", th
             """)
     
     # Footer
-    # Event handlers must be inside the Blocks context
+    # Define all UI elements first
+    with gr.Tabs() as tabs:
+        # Batch Processing Tab
+        with gr.TabItem("📊 **Batch Customer Analysis**", id=0):
+            with gr.Row():
+                with gr.Column(scale=2):
+                    csv_file = gr.File(label="📁 Upload Customer Data (CSV)", file_types=[".csv"])
+                    with gr.Row():
+                        predict_btn = gr.Button("🔍 Analyze Customers", variant="primary")
+                        sample_btn = gr.Button("📥 Download Sample CSV")
+                    summary = gr.Textbox(label="📝 Analysis Summary", interactive=False, lines=4)
+                    output_file = gr.File(label="💾 Download Predictions", visible=False)
+                with gr.Column():
+                    plot1 = gr.Plot(label="📈 Churn Risk Distribution")
+                    plot2 = gr.Plot(label="📊 Feature Importance")
+        
+        # Single Prediction Tab
+        with gr.TabItem("👤 Single Customer Prediction", id=1):
+            with gr.Row():
+                with gr.Column(scale=1):
+                    gr.Markdown("### 📋 Customer Details")
+                    with gr.Row():
+                        with gr.Column():
+                            account_length = gr.Slider(0, 250, 100, label="Account Length (days)")
+                            custserv_calls = gr.Slider(0, 10, 0, label="Customer Service Calls")
+                            total_day_minutes = gr.Slider(0, 400, 200, label="Day Minutes")
+                            total_day_calls = gr.Slider(0, 200, 100, label="Day Calls")
+                            total_eve_minutes = gr.Slider(0, 400, 200, label="Evening Minutes")
+                        with gr.Column():
+                            total_eve_calls = gr.Slider(0, 200, 100, label="Evening Calls")
+                            total_night_minutes = gr.Slider(0, 400, 200, label="Night Minutes")
+                            total_night_calls = gr.Slider(0, 200, 100, label="Night Calls")
+                            total_intl_minutes = gr.Slider(0, 30, 10, label="International Minutes")
+                            total_intl_calls = gr.Slider(0, 20, 3, label="International Calls")
+                    with gr.Row():
+                        number_vmail_messages = gr.Slider(0, 100, 0, label="Voicemail Messages")
+                        international_plan = gr.Radio(["Yes", "No"], label="International Plan", value="No")
+                        voice_mail_plan = gr.Radio(["Yes", "No"], label="Voicemail Plan", value="No")
+                    
+                    predict_btn_single = gr.Button("🔍 Predict Churn Risk", variant="primary")
+                    
+                with gr.Column(scale=1):
+                    result = gr.Markdown("## 🎯 Churn Risk: **Not Analyzed**")
+                    gauge = gr.Plot(label="Churn Risk Score")
+                    importance = gr.Plot(label="Top Factors")
+    
+    # Event handlers
     predict_btn.click(
         predict_csv,
         inputs=[csv_file],