first push

src/streamlit_app.py

@@ -9,12 +9,17 @@ from sklearn.neighbors import KNeighborsClassifier
 from sklearn.tree import DecisionTreeClassifier
 from sklearn.metrics import accuracy_score, r2_score
 
-# Define existing directories (must already be present in environment)
+# Define existing directories (must already be present in environment, but we'll ensure creation)
 UPLOAD_DIR = "/uploads"
 PROCESSED_DIR = "/processed"
 PKL_DIR = "/pkl"
 ENCODERS_DIR = "/encoders"
 
+# Create them if they don't exist
+for folder in [UPLOAD_DIR, PROCESSED_DIR, PKL_DIR, ENCODERS_DIR]:
+    os.makedirs(folder, exist_ok=True)
+
+
 # Warn if directories don't exist
 for folder in [UPLOAD_DIR, PROCESSED_DIR, PKL_DIR, ENCODERS_DIR]:
     if not os.path.exists(folder):