Update app.py to replace 'use_auth_token' with 'token' in model and tokenizer initialization for compatibility with Hugging Face's latest API changes. This adjustment ensures proper authentication handling when loading the model and tokenizer.

app.py

@@ -34,11 +34,11 @@ def extract_cv_text(file):
 access_token = os.getenv('token')
 
 # Initialize the tokenizer and model with the Hugging Face access token
-tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b-it", use_auth_token=access_token)
+tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b-it", token=access_token)
 model = AutoModelForCausalLM.from_pretrained(
     "google/gemma-2b-it",
     torch_dtype=torch.bfloat16,
-    use_auth_token=access_token
+    token=access_token
 )
 model.eval()  # Set the model to evaluation mode