first push

src/streamlit_app.py

@@ -12,10 +12,17 @@ from sklearn.metrics import accuracy_score, r2_score
 st.sidebar.title("Navigation")
 page = st.sidebar.selectbox("Go to", ["Upload File", "Preprocess Data", "Train & Select Model", "Create App"])
 
-os.makedirs("uploads", exist_ok=True)
-os.makedirs("processed", exist_ok=True)
-os.makedirs("pkl", exist_ok=True)
-os.makedirs("encoders", exist_ok=True)  # Folder to save encoders
+BASE_DIR = "/tmp"  # temp folder for deployment
+UPLOAD_DIR = os.path.join(BASE_DIR, "uploads")
+PROCESSED_DIR = os.path.join(BASE_DIR, "processed")
+PKL_DIR = os.path.join(BASE_DIR, "pkl")
+ENCODER_DIR = os.path.join(BASE_DIR, "encoders")
+
+os.makedirs(UPLOAD_DIR, exist_ok=True)
+os.makedirs(PROCESSED_DIR, exist_ok=True)
+os.makedirs(PKL_DIR, exist_ok=True)
+os.makedirs(ENCODER_DIR, exist_ok=True)
+
 
 if page == "Upload File":
     st.title("Upload CSV or SQL File")