first push

src/streamlit_app.py

@@ -10,10 +10,10 @@ from sklearn.tree import DecisionTreeClassifier
 from sklearn.metrics import accuracy_score, r2_score
 
 # Define existing directories (must already be present in environment)
-UPLOAD_DIR = "uploads"
-PROCESSED_DIR = "processed"
-PKL_DIR = "pkl"
-ENCODERS_DIR = "encoders"
+UPLOAD_DIR = "/tmp/uploads"
+PROCESSED_DIR = "/tmp/processed"
+PKL_DIR = "/tmp/pkl"
+ENCODERS_DIR = "/tmp/encoders"
 
 # Warn if directories don't exist
 for folder in [UPLOAD_DIR, PROCESSED_DIR, PKL_DIR, ENCODERS_DIR]: