Update app.py

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 from huggingface_hub import InferenceClient
 from langchain_community.vectorstores.faiss import FAISS
 from langchain.chains import RetrievalQA
-from langchain_community.llms import HuggingFacePipeline
+from langchain_huggingface import HuggingFacePipeline
 
 # Load the vector store from the saved index files
 vector_store = FAISS.load_local("db.index", embeddings=None, allow_dangerous_deserialization=True)
@@ -11,7 +11,7 @@ vector_store = FAISS.load_local("db.index", embeddings=None, allow_dangerous_des
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
 # Initialize the HuggingFacePipeline LLM
-llm = HuggingFacePipeline(client, model_kwargs={"temperature": None, "top_p": None})
+llm = HuggingFacePipeline(client=client, model_kwargs={"temperature": None, "top_p": None})
 
 # Initialize the RetrievalQA chain
 qa = RetrievalQA.from_chain_type(llm=llm, chain_type="stuff", retriever=vector_store.as_retriever())