updated app.py file

app.py

@@ -1,6 +1,5 @@
 import torch
 from torch import nn
-from tokenizers import Tokenizer
 from transformers import AutoTokenizer
 import gradio as gr
 from model import LlamaForCausalLM  # Import your custom model class
@@ -65,7 +64,7 @@ demo = gr.Interface(
         gr.Slider(10, 100, value=50, label="Top-k")
     ],
     outputs=gr.Textbox(label="Generated Text", lines=5),
-    title="🦙 Custom SmolLLM Demo",
+    title="SmolLM2 Demo",
     description="A 135M parameter language model trained on smollm-corpus"
 )