Update config.py

config.py

@@ -1,42 +1,23 @@
-"""Configuration for Veda Programming LLM"""
+"""Configuration for Veda Programming Assistant"""
 
 import os
 
-# Paths
 BASE_DIR = os.path.dirname(os.path.abspath(__file__))
 DATA_DIR = os.path.join(BASE_DIR, "data")
 MODEL_DIR = os.path.join(BASE_DIR, "veda_model")
-VERSIONS_DIR = os.path.join(DATA_DIR, "model_versions")
 
-# Ensure directories exist
 os.makedirs(DATA_DIR, exist_ok=True)
 os.makedirs(MODEL_DIR, exist_ok=True)
-os.makedirs(VERSIONS_DIR, exist_ok=True)
 
-# Database
-DATABASE_PATH = os.path.join(DATA_DIR, "user_data.db")
+DATABASE_PATH = os.path.join(DATA_DIR, "conversations.db")
 
-# Model settings
-VOCAB_SIZE = 5000
-MAX_LENGTH = 256
+VOCAB_SIZE = 8000
+MAX_LENGTH = 512
 D_MODEL = 256
 NUM_HEADS = 8
 NUM_LAYERS = 4
 FF_DIM = 512
-BATCH_SIZE = 8
+BATCH_SIZE = 4
 
-# Training settings
-MIN_SAMPLES_FOR_TRAINING = 50  # Minimum approved samples before retraining
-AUTO_TRAIN_INTERVAL_HOURS = 6  # Auto retrain every N hours
-EPOCHS_PER_RETRAIN = 5
-
-# Learning settings
-LEARNING_FROM_FEEDBACK = True
-SAVE_ALL_INTERACTIONS = True
-REQUIRE_APPROVAL = True  # Only learn from approved (👍) samples
-
-# Generation defaults
 DEFAULT_TEMPERATURE = 0.7
-DEFAULT_MAX_TOKENS = 100
-DEFAULT_REPETITION_PENALTY = 1.2
-DEFAULT_TOP_K = 50
+DEFAULT_MAX_TOKENS = 200