Update app.py

app.py

@@ -4,7 +4,7 @@ from langchain_huggingface import HuggingFaceEmbeddings
 from langchain.vectorstores import FAISS
 import torch
 from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
-from langchain.llms import HuggingFacePipeline
+from langchain_huggingface.llms import HuggingFacePipeline
 from langchain.prompts import PromptTemplate
 from transformers import pipeline
 from langchain_core.output_parsers import StrOutputParser
@@ -16,7 +16,7 @@ import gradio as gr
 
 md_path = glob.glob( "md_files/*.md")
 
-docs = [UnstructuredMarkdownLoader(md).load() for md in self.markdown_path]
+docs = [UnstructuredMarkdownLoader(md).load() for md in md_path]
 docs_list = [item for sublist in docs for item in sublist]
 
 # Split documents
@@ -116,7 +116,7 @@ def get_output(is_RAG:str,questions:str):
         generation2=rag_chain.invoke(questions)
         return generation2.content
     else:
-        generation1=llm_chain.invoke({"context":"", "question": question})
+        generation1=llm_chain.invoke({"context":"", "question": questions})
         return generation1.content
 
 demo = gr.Interface(