Create config.py

config.py

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+"""Configuration for Veda Programming LLM"""
+
+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")
+
+# Model settings
+VOCAB_SIZE = 5000
+MAX_LENGTH = 256
+D_MODEL = 256
+NUM_HEADS = 8
+NUM_LAYERS = 4
+FF_DIM = 512
+BATCH_SIZE = 8
+
+# 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