first push

src/streamlit_app.py

@@ -9,21 +9,21 @@ from sklearn.neighbors import KNeighborsClassifier
 from sklearn.tree import DecisionTreeClassifier
 from sklearn.metrics import accuracy_score, r2_score
 
-# ====== Safe, relative folder paths ======
-UPLOAD_DIR = "uploads"
-PROCESSED_DIR = "processed"
-PKL_DIR = "pkl"
-ENCODERS_DIR = "encoders"
+# ========================
+# Directory Setup
+# ========================
+BASE_DIR = "/tmp"  # Writable directory in hosted environments
+UPLOAD_DIR = os.path.join(BASE_DIR, "uploads")
+PROCESSED_DIR = os.path.join(BASE_DIR, "processed")
+PKL_DIR = os.path.join(BASE_DIR, "pkl")
+ENCODERS_DIR = os.path.join(BASE_DIR, "encoders")
 
-# ====== Create directories if they don't exist ======
+# Create directories if they don't exist
 for folder in [UPLOAD_DIR, PROCESSED_DIR, PKL_DIR, ENCODERS_DIR]:
     os.makedirs(folder, exist_ok=True)
 
 st.sidebar.title("Navigation")
-page = st.sidebar.selectbox(
-    "Go to",
-    ["Upload File", "Preprocess Data", "Train & Select Model", "Create App"]
-)
+page = st.sidebar.selectbox("Go to", ["Upload File", "Preprocess Data", "Train & Select Model", "Create App"])
 
 # ========================
 # Upload File Page