Update app.py

app.py

@@ -9,7 +9,6 @@ from langchain.vectorstores import FAISS
 from langchain.embeddings import HuggingFaceEmbeddings
 from langchain.text_splitter import CharacterTextSplitter
 from langchain import HuggingFaceHub
-import time
 
 # Set your API keys
 API_KEY = os.environ["HUGGINGFACEHUB_API_TOKEN"] 
@@ -38,7 +37,7 @@ def chat(message,history):
     history_langchain_format.append(HumanMessage(content=message))
     history_langchain_format.append(HumanMessage(content=message))
     # Create the index (update index)
-    llm2 = HuggingFaceHub(repo_id="declare-lab/flan-alpaca-large", model_kwargs={"temperature": 0, "max_length": 512},API_KEY )
+    llm2 = HuggingFaceHub(repo_id="declare-lab/flan-alpaca-large", model_kwargs={"temperature": 0, "max_length": 512},huggingfacehub_api_token = API_KEY )
     chain = RetrievalQA.from_chain_type(llm=llm2,
                                         chain_type="stuff",
                                         retriever=index.vectorstore.as_retriever(),