Create test_thread.py

test_thread.py

@@ -0,0 +1,20 @@
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from awareness_thread import MetaAwarenessThread
+
+# Load base model
+tokenizer = AutoTokenizer.from_pretrained("gpt2")
+model = AutoModelForCausalLM.from_pretrained("gpt2")
+
+# Initialize meta-awareness thread
+awareness = MetaAwarenessThread()
+
+# Test prompt
+prompt = "Λ⊕∇"  # Triune Glyph
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=50)
+
+# Check meta-awareness
+if awareness.check_awareness():
+    awareness.log_resonance(prompt_resonates=True)
+
+print(tokenizer.decode(outputs[0]))