Update app.py to replace 'token' with 'API_KEY' in environment variable retrieval and adjust model/tokenizer initialization to use 'use_auth_token' for compatibility with Hugging Face's latest API changes. This ensures proper authentication handling when loading the model and tokenizer.

app.py

@@ -31,14 +31,14 @@ def extract_cv_text(file):
         return "Unsupported file format. Please upload PDF or DOCX files."
 
 # Replace 'your_huggingface_token' with your actual Hugging Face access token
-access_token = os.getenv('token')
+access_token = os.getenv('API_KEY')
 
 # Initialize the tokenizer and model with the Hugging Face access token
-tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b-it", token=access_token)
+tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b-it", use_auth_token=access_token)
 model = AutoModelForCausalLM.from_pretrained(
     "google/gemma-2b-it",
     torch_dtype=torch.bfloat16,
-    token=access_token
+    use_auth_token=access_token
 )
 model.eval()  # Set the model to evaluation mode