Create config.py

config.py

@@ -0,0 +1,35 @@
+import os
+
+# --- Base Directory ---
+BASE_DIR = os.path.abspath(os.path.dirname(__file__))
+
+# --- File Paths ---
+DATA_PATH = os.path.join(BASE_DIR, "data", "synthetic_transactions_samples_5000.csv")
+MODEL_SAVE_DIR = os.path.join(BASE_DIR, "models")
+
+LABEL_ENCODERS_PATH = os.path.join(MODEL_SAVE_DIR, "label_encoders.pkl")
+TFIDF_VECTORIZER_PATH = os.path.join(MODEL_SAVE_DIR, "tfidf_vectorizer.pkl")
+MODEL_PATH = os.path.join(MODEL_SAVE_DIR, "logreg_model.pkl")
+
+# --- Column Configuration ---
+TEXT_COLUMN = "Sanction_Context"
+LABEL_COLUMNS = [
+    "Red_Flag_Reason",
+    "Maker_Action",
+    "Escalation_Level",
+    "Risk_Category",
+    "Risk_Drivers",
+    "Investigation_Outcome"
+]
+
+# --- TF-IDF Settings ---
+TFIDF_MAX_FEATURES = 5000
+NGRAM_RANGE = (1, 2)
+USE_STOPWORDS = True
+
+# --- ML Training Settings ---
+RANDOM_STATE = 42
+TEST_SIZE = 0.2
+
+# --- Create Directories ---
+os.makedirs(MODEL_SAVE_DIR, exist_ok=True)