lobotmized goober and cleared out junk

modules/markovmemory.py

@@ -6,7 +6,7 @@ from modules.globalvars import *
 from modules.volta.main import _
 import logging
 logger = logging.getLogger("goober")
-# Get file size and line count for a given file path
+
 def get_file_info(file_path):
     try:
         file_size = os.path.getsize(file_path)
@@ -15,12 +15,8 @@ def get_file_info(file_path):
         return {"file_size_bytes": file_size, "line_count": len(lines)}
     except Exception as e:
         return {"error": str(e)}
-
-# Load memory data from file, or use default dataset if not loaded yet
 def load_memory():
     data = []
-
-    # Try to load data from MEMORY_FILE
     try:
         with open(MEMORY_FILE, "r") as f:
             data = json.load(f)
@@ -28,12 +24,9 @@ def load_memory():
         pass
 
     return data
-
-# Save memory data to MEMORY_FILE
 def save_memory(memory):
     with open(MEMORY_FILE, "w") as f:
         json.dump(memory, f, indent=4)
-
 def train_markov_model(memory, additional_data=None):
     if not memory:
         return None
@@ -45,14 +38,9 @@ def train_markov_model(memory, additional_data=None):
     text = "\n".join(filtered_memory)
     model = markovify.NewlineText(text, state_size=2)
     return model
-
-# Save the Markov model to a pickle file
 def save_markov_model(model, filename='markov_model.pkl'):
     with open(filename, 'wb') as f:
         pickle.dump(model, f)
-    logger.info(f"Markov model saved to {filename}.")
-
-# Load the Markov model from a pickle file
 def load_markov_model(filename='markov_model.pkl'):
     try:
         with open(filename, 'rb') as f: