feat: Removed create_dummy_model function

model.py

@@ -108,43 +108,7 @@ class WellnessRecommendationModel:
             
         except Exception as e:
             logger.error(f"Error training model: {str(e)}")
-            self._create_dummy_model()
     
-    def _create_dummy_model(self):
-        """Create a dummy model for testing purposes when dataset is not available."""
-        logger.warning("Creating dummy model for testing purposes")
-        
-        self.label_encoder = LabelEncoder()
-        self.label_encoder.classes_ = np.array(self.target_classes)
-        
-        preprocessor = self._create_preprocessor()
-        
-        self.model_pipeline = Pipeline(steps=[
-            ('preprocessor', preprocessor),
-            ('classifier', RandomForestClassifier(
-                n_estimators=10,
-                random_state=42
-            ))
-        ])
-        
-        dummy_data = {
-            'Umur': [25, 30, 35, 40, 45],
-            'Jenis Kelamin': ['Laki-laki', 'Perempuan', 'Laki-laki', 'Perempuan', 'Laki-laki'],
-            'Kota': ['Jakarta', 'Bali', 'Yogyakarta', 'Surabaya', 'Bandung'],
-            'Frekuensi': ['Sekali sebulan', 'Setiap tahun', 'Setiap tiga bulan', 'Dua kali setahun', 'Sekali setiap 2 bulan'],
-            'Anggaran/Kunjungan (IDR)': [1000000, 2000000, 1500000, 3000000, 2500000],
-            'Kemauan Bepergian': ['Domestik', 'Regional', 'Internasional', 'Domestik', 'Regional'],
-            'Metode Pemesanan': ['Aplikasi Seluler', 'Pemesanan Email', 'Media Sosial', 'Website', 'Telepon'],
-            'Tujuan Utama': ['Relaksasi', 'Kesehatan', 'Spiritual', 'Kecantikan', 'Detoks'],
-            'Yang Dicari': ['Kecantikan', 'Kesehatan', 'Relaksasi', 'Spiritual', 'Detoks']
-        }
-        
-        X_dummy = pd.DataFrame(dummy_data)
-        y_dummy = np.array([0, 1, 2, 3, 4])
-        
-        self.model_pipeline.fit(X_dummy, y_dummy)
-        self.is_trained = True
-        
     def _save_model(self):
         """Save the trained model and label encoder."""
         try: