Update app.py

app.py

@@ -2,7 +2,7 @@ import torch, os, argparse, shutil, textwrap, time, streamlit as st
 from langchain.document_loaders import YoutubeLoader
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain.vectorstores import Chroma
-from langchain.embeddings import OpenAIEmbeddings, HuggingFaceInstructEmbeddings, HuggingFaceBgeEmebddings
+from langchain.embeddings import OpenAIEmbeddings, HuggingFaceInstructEmbeddings, HuggingFaceBgeEmbeddings
 from langchain.chains import RetrievalQA
 from langchain.llms import OpenAI 
 from langchain.chat_models import ChatOpenAI
@@ -61,7 +61,7 @@ def chat():
 
             vector_db = Chroma.from_documents(
                 documents,
-                embeddings = HuggingFaceBgeEmebddings(model_name=model_name, model_kwargs={'device': 'cuda' if torch.cuda.is_available() else 'cpu'}, encode_kwargs=encode_kwargs)
+                embeddings = HuggingFaceBgeEmbeddings(model_name=model_name, model_kwargs={'device': 'cuda' if torch.cuda.is_available() else 'cpu'}, encode_kwargs=encode_kwargs)
             )
             repo_id = "tiiuae/falcon-7b-instruct"
             qa_chain = RetrievalQA.from_chain_type(