Update gradio_app.py

gradio_app.py

@@ -1,6 +1,6 @@
 """
 HR Analytics - Gradio Deployment App
-Aplikasi web untuk prediksi karyawan resign menggunakan trained model
+Aplikasi web untuk prediksi karyawan resign menggunakan model ML
 
 Features:
 - Single Employee Prediction
@@ -197,8 +197,7 @@ class HRResignationPredictor:
         return "\n".join(recommendations)
     
     def create_gauge_chart(self, resign_prob, color):
-        """Create gauge chart for resignation probability"""
-        
+        """Create gauge chart for resignation probability"""     
         fig = go.Figure(go.Indicator(
             mode = "gauge+number+delta",
             value = resign_prob,
@@ -251,9 +250,9 @@ class HRResignationPredictor:
             missing_cols = [col for col in required_cols if col not in df.columns]
             if missing_cols:
                 return f"❌ Missing columns: {', '.join(missing_cols)}", None
-            # Preprocess
+            # Preprocessing
             df_processed = df.copy()
-            # Encode categorical features
+            # Encode fitur data kategorikal
             for col in ['kecelakaan_kerja', 'promosi', 'divisi', 'gaji']:
                 if col in self.encoders:
                     # Handle unknown categories