chore: fixing secrets

app.py

@@ -4,11 +4,12 @@ import torch
 from datasets import load_dataset
 from sentence_transformers import SentenceTransformer
 from transformers import AutoTokenizer, AutoModelForCausalLM
+import os
 
 dataset = load_dataset("ariG23498/pis-blogs-chunked")
 embedding_model = SentenceTransformer(model_name_or_path="all-mpnet-base-v2")
-tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b-it")
-model = AutoModelForCausalLM.from_pretrained("google/gemma-2b-it", torch_dtype=torch.bfloat16)
+tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b-it", key="HF_TOKEN", value=os.getenv["auth"])
+model = AutoModelForCausalLM.from_pretrained("google/gemma-2b-it", torch_dtype=torch.bfloat16, key="HF_TOKEN", value=os.getenv["auth"])
 
 @spaces.GPU
 def process_query(query):