Update app.py

app.py

@@ -1,3 +1,4 @@
+import os
 import torch
 import streamlit as st
 from transformers import AutoModelForCausalLM, AutoTokenizer, TrainingArguments, Trainer
@@ -5,8 +6,7 @@ from peft import LoraConfig, get_peft_model, TaskType
 from huggingface_hub import HfApi, Repository
 from datasets import load_dataset
 
-# Hugging Face details
-HF_TOKEN = "your_huggingface_token"
+HF_TOKEN = os.getenv("HF_TOKEN")
 REPO_NAME = "tinyllama-lora-finetuned"
 
 # Initialize Streamlit