Fixed an issue with the dream mechanic being broken

trainer.py

@@ -1,6 +1,7 @@
 import torch
 import torch.nn.functional as F
 from datetime import datetime
+import os
 from model import MiniGPT
 
 
@@ -114,6 +115,26 @@ class RubyTrainer:
         new_tokens = input_ids.squeeze(0).tolist()[1:]
         return self.tokenizer.detokenize([t for t in new_tokens if t != self.tokenizer.vocab["<END>"]])
     
+    def dream(self, log_path="logs/messages.log", max_lines=50):
+        print("[DREAM] Ruby is dreaming...")
+
+        if not os.path.exists(log_path):
+            print("[DREAM] No memory to dream from.")
+            return
+
+        with open(log_path, "r", encoding="utf-8") as f:
+            lines = f.readlines()[-max_lines:]
+
+        learned = 0
+        for line in lines:
+            parts = line.strip().split("|")
+            if len(parts) >= 3:
+                text = parts[2].strip()
+                self.train_on_tokens_from_text(text)
+                learned += 1
+
+        print(f"[DREAM] Dream complete. Trained on {learned} memories.")
+
     def daydream(self, rounds=5, log_output="logs/dreams.log", say_thought=False):
         print("[DAYDREAM] Ruby is imagining new thoughts...")
         thoughts = []