Update app.py

app.py

@@ -18,6 +18,7 @@ MISTRAL_MODEL1 = 'mistralai/Mixtral-8x7B-Instruct-v0.1'
 HF_MODEL1 = 'HuggingFaceH4/zephyr-7b-beta'
 # define paths
 vector_path = 'faiss_index'
+hf_token = os.environ["HUGGINGFACEHUB_API_TOKEN"]
 
 # Initialize your embedding model
 embedding_model = HuggingFaceEmbeddings(model_name=EMB_MODEL1)
@@ -42,8 +43,8 @@ def respond(
 
     # initialse chatbot llm
     llm = HuggingFaceHub(
-        repo_id=MISTRAL_MODEL1,
-        token=os.environ["HUGGINGFACEHUB_API_TOKEN"], #huggingfacehub_api_token=SECRET_TOKEN_HF,
+        repo_id=MISTRAL_MODEL1, 
+        huggingfacehub_api_token=hf_token,
         model_kwargs={"temperature": temperature, "max_new_tokens": max_tokens}
         )
     # create a RAG pipeline