Update app.py

app.py

@@ -3,7 +3,7 @@ import nest_asyncio
 import gradio as gr
 import requests
 from huggingface_hub import InferenceClient
-from langchain.chains import RunnablePassthrough, LLMChain
+from langchain.chains import LLMChain
 from langchain.retrievers import FaissRetriever
 from langchain.prompts import PromptTemplate
 from langchain.wrappers import HuggingFacePipeline
@@ -49,7 +49,7 @@ db = FAISS.from_documents(chunked_documents,
 retriever = db.as_retriever()
 
 # Create the RAG chain by combining the language model with the retriever
-rag_chain = ({"context": retriever, "question": RunnablePassthrough()} | LLMChain)
+rag_chain = ({"context": retriever} | LLMChain)
 
 # Define the generation function for the Gradio interface
 def generate(