api issue fixed using env

app.py

@@ -5,6 +5,11 @@ import nltk
 from nltk import sent_tokenize
 from transformers import MBartForConditionalGeneration, MBart50TokenizerFast
 from transformers import pipeline
+import os
+from dotenv import load_dotenv, dotenv_values 
+load_dotenv() 
+
+api_token_header = os.getenv("api_token_header")
 
 # Use a pipeline as a high-level helper
 from transformers import pipeline
@@ -15,8 +20,6 @@ tokenizer = MBart50TokenizerFast.from_pretrained("SnypzZz/Llama2-13b-Language-tr
 model = None
 model_loaded = False
 
-from secrets_file import api_token_header
-
 
 def load_model():
     global model, model_loaded

requirements.txt

@@ -34,6 +34,7 @@ pydantic_core==2.27.2
 pydub==0.25.1
 Pygments==2.18.0
 python-dateutil==2.9.0.post0
+python-dotenv==1.0.1
 python-multipart==0.0.20
 pytz==2024.2
 PyYAML==6.0.2