Update app.py

app.py

@@ -3,11 +3,12 @@ from peft import PeftModel, PeftConfig
 from transformers import AutoModelForCausalLM, AutoTokenizer
 import torch
 import re
+import os
 
 model_name = "google/gemma-2b"
 peft_model = "kazuma313/gemma-dokter-ft"
 device_map = "auto"
-hf_token = userdata.get('hftoken')
+hf_token = os.getenv('hftoken')
 
 base_model = AutoModelForCausalLM.from_pretrained(
     model_name,