Update app.py

app.py

@@ -64,15 +64,15 @@ def check_model_drift():
     p_diff = abs(p_pos_label_training_data - p_pos_label_sample_logs)
     
     if p_diff > 2 * math.sqrt(variance):
-        print("Model Drift Detected!")
+        return "Model Drift Detected! Check logs!"
     else:
-        print("No Model Drift!")
+        return "No Model Drift!"
 
     
 with gr.Blocks() as demo:
     gr.Markdown("# Real-time Monitoring Dashboard")
 
-    gr.Markdown("Snapshot of live data")
+    gr.Markdown("Model drift detection (every 5 seconds)")
     
     with gr.Row():
         with gr.Column():