Create config.py

config.py

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+import os
+
+# --- Paths ---
+BASE_DIR = os.path.abspath(os.path.dirname(__file__))
+
+# Path to dataset
+DATA_PATH = os.path.join(BASE_DIR, "data", "synthetic_transactions_samples_5000.csv")
+
+# Directory to save models
+MODEL_SAVE_DIR = os.path.join(BASE_DIR, "models")
+os.makedirs(MODEL_SAVE_DIR, exist_ok=True)
+
+# Save paths for Logistic Regression model + artifacts
+MODEL_PATH = os.path.join(MODEL_SAVE_DIR, "logreg_model.pkl")              # ✅ Logistic Regression model
+TFIDF_VECTORIZER_PATH = os.path.join(MODEL_SAVE_DIR, "tfidf_vectorizer.pkl")
+LABEL_ENCODERS_PATH = os.path.join(MODEL_SAVE_DIR, "label_encoders.pkl")
+
+# --- Text & Label Columns ---
+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  # English stopwords will be removed if True
+
+# --- Train/Test Split ---
+RANDOM_STATE = 42
+TEST_SIZE = 0.2