chore: fixing secrets

app.py

@@ -8,8 +8,8 @@ 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", 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"])
+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):