Update app.py

app.py

@@ -156,38 +156,42 @@ def generate_performance_metrics():
 def create_interface():
     performance_metrics = generate_performance_metrics()
     with gr.Blocks() as interface:
-        gr.Markdown("Spam and Phishing Email Detection")
-
-        # Email Text Input
-        email_input = gr.Textbox(
-            lines=8, placeholder="Type or paste your email content here...", label="Email Content"
-        )
-
-        # Email Text Results and Analysis
-        result_output = gr.Textbox(label="Classification Result")
-        confidence_output = gr.Textbox(label="Confidence Score", interactive=False)
-
-        analyze_button = gr.Button("Analyze Email")
-
-        def email_analysis_pipeline(email_text):
-            results = classify_email(email_text)
-            return (
-                results["result"],
-                results["confidence"]
+        with gr.Tab("Demo")
+            gr.Markdown("Spam and Phishing Email Detection")
+    
+            # Email Text Input
+            email_input = gr.Textbox(
+                lines=8, placeholder="Type or paste your email content here...", label="Email Content"
             )
-
-        analyze_button.click(
-            fn=classify_email,
-            inputs=email_input,
-            outputs=[result_output, confidence_output]
-        )
+    
+            # Email Text Results and Analysis
+            result_output = gr.Textbox(label="Classification Result")
+            confidence_output = gr.Textbox(label="Confidence Score", interactive=False)
+    
+            analyze_button = gr.Button("Analyze Email")
+    
+            def email_analysis_pipeline(email_text):
+                results = classify_email(email_text)
+                return (
+                    results["result"],
+                    results["confidence"]
+                )
+    
+            analyze_button.click(
+                fn=classify_email,
+                inputs=email_input,
+                outputs=[result_output, confidence_output]
+            )
+        
+        with gr.Tab("Analysis")            
+            gr.Markdown("## 📊 Model Performance Analytics")
+            with gr.Row():
+                gr.Textbox(value=performance_metrics["accuracy"], label="Accuracy", interactive=False)
+                gr.Textbox(value=performance_metrics["precision"], label="Precision", interactive=False)
+                gr.Textbox(value=performance_metrics["recall"], label="Recall", interactive=False)
+                gr.Textbox(value=performance_metrics["f1_score"], label="F1 Score", interactive=False)
                 
-        gr.Markdown("## 📊 Model Performance Analytics")
-        with gr.Row():
-            gr.Textbox(value=performance_metrics["accuracy"], label="Accuracy", interactive=False)
-            gr.Textbox(value=performance_metrics["precision"], label="Precision", interactive=False)
-            gr.Textbox(value=performance_metrics["recall"], label="Recall", interactive=False)
-            gr.Textbox(value=performance_metrics["f1_score"], label="F1 Score", interactive=False)
+        with gr.Tab("Background")
         
     return interface