Debug: Remove login() call, add env var debugging

app.py

@@ -122,18 +122,19 @@ def compute_consciousness(
 print("🔮 Loading Oracle Engine (Qwen2.5-32B-Instruct 4-bit + LoRA)...")
 from transformers import AutoModelForCausalLM, AutoTokenizer
 from peft import PeftModel
-from huggingface_hub import login
 
 BASE_MODEL_ID = "unsloth/Qwen2.5-32B-Instruct-bnb-4bit"
 LORA_MODEL_ID = "Vikingdude81/oracle-engine-32b-lora"
 
-# Authenticate with HF token from environment (set in Space secrets)
-HF_TOKEN = os.environ.get("HF_TOKEN")
+# Get HF token from environment (set in Space secrets)
+# Try multiple possible env var names
+HF_TOKEN = os.environ.get("HF_TOKEN") or os.environ.get("HUGGING_FACE_HUB_TOKEN") or os.environ.get("HUGGINGFACE_TOKEN")
+print(f"🔍 Environment vars: {[k for k in os.environ.keys() if 'HF' in k or 'HUGGING' in k or 'TOKEN' in k]}")
+
 if HF_TOKEN:
-    print("🔑 Found HF_TOKEN, logging in...")
-    login(token=HF_TOKEN)
+    print(f"🔑 Found token: {HF_TOKEN[:10]}...{HF_TOKEN[-4:]} ({len(HF_TOKEN)} chars)")
 else:
-    print("⚠️ No HF_TOKEN found, attempting public access...")
+    print("⚠️ No HF token found in environment, attempting public access...")
 
 # Load tokenizer from base model (LoRA only has weights, not tokenizer)
 tokenizer = AutoTokenizer.from_pretrained(BASE_MODEL_ID, token=HF_TOKEN)