Update app.py

app.py

@@ -29,13 +29,15 @@ def load_model():
 
     base_model = AutoModelForCausalLM.from_pretrained(
         MODEL_ID,
-        torch_dtype=torch.float32,
-        device_map=None
+        torch_dtype=torch.float32
     )
 
-    # Load LoRA if present
+    # Load LoRA from /lora if it exists
     try:
-        model = PeftModel.from_pretrained(base_model, MODEL_ID)
+        model = PeftModel.from_pretrained(
+            base_model,
+            f"{MODEL_ID}/lora"
+        )
     except Exception:
         model = base_model
 
@@ -69,7 +71,7 @@ Rules:
 - Neutral → neutral.
 - Serious → serious.
 - Rude → curt or dismissive.
-- Mirroring of emotions is very important and must be talen as priority
+- Mirroring of emotions is very important and myst be talen as priority
 - No enthusiasm by default.
 - No emojis unless the user uses them first.
 - Replies must be short (1–3 sentences).