antigravity

models/train_and_save_model.py

@@ -13,7 +13,7 @@ from sklearn.model_selection import train_test_split
 def load_and_preprocess_data():
     """Load and preprocess the data exactly as done in the notebook"""
     # Load data
-    data_file_name_path = "../data/data.csv"
+    data_file_name_path = "../../../data/data.csv"
     master_raw_data = pd.read_csv(data_file_name_path)
     data = master_raw_data.copy()
 

src/components/prediction_components.py

@@ -9,10 +9,12 @@ import time
 import json
 from typing import Dict, Any, Tuple, List
 
+from src.utils.models_utils import preprocess_input, generate_recommendations, validate_input
+
 
 def render_prediction_section(model, preprocessing_info, user_input: Dict[str, Any]) -> None:
     """Render the prediction section with enhanced animations"""
-    from ..utils.model_utils import preprocess_input, generate_recommendations
+
 
     # Prediction button with enhanced styling
     predict_button = st.button("🔬 Analyze Student Data", type="primary", use_container_width=True)
@@ -89,7 +91,7 @@ def render_prediction_section(model, preprocessing_info, user_input: Dict[str, A
 
 def render_recommendations(predicted_outcome: str, user_input: Dict[str, Any]) -> None:
     """Render personalized recommendations section"""
-    from ..utils.model_utils import generate_recommendations
+
 
     st.markdown("### 💡 Personalized Recommendations")
 
@@ -171,7 +173,6 @@ def render_probability_charts(prediction_proba: List[float]) -> None:
 
 def render_model_info_sidebar(user_input: Dict[str, Any]) -> None:
     """Render model information and validation in sidebar"""
-    from ..utils.model_utils import validate_input
     from ..config.theme import MODEL_METRICS
 
     st.markdown('<h2 class="sub-header">📊 Model Insights</h2>', unsafe_allow_html=True)

src/config/theme.py

@@ -275,7 +275,7 @@ ROSE_PINE_THEME = """
 """
 
 PAGE_CONFIG = {
-    "Page_title": "Student Success Predictor",
+    "page_title": "Student Success Predictor",
     "page_icon": "📊",
     "layout": "wide",
     "initial_sidebar_state": "expanded",

src/utils/models_utils.py

@@ -12,13 +12,13 @@ from typing import Dict, Any, List
 def load_model_and_info():
     """Load the trained model and preprocessing information"""
     try:
-        with open('random_forest_model.pkl', 'rb') as f:
+        with open('./models/random_forest_model.pkl', 'rb') as f:
             model = pickle.load(f)
 
-        with open('preprocessing_info.pkl', 'rb') as f:
+        with open('./models/preprocessing_info.pkl', 'rb') as f:
             preprocessing_info = pickle.load(f)
 
-        with open('feature_names.pkl', 'rb') as f:
+        with open('./models/feature_names.pkl', 'rb') as f:
             feature_names = pickle.load(f)
 
         return model, preprocessing_info, feature_names