Update app.py

app.py

@@ -3,7 +3,7 @@ import os
 import streamlit as st
 from PyPDF2 import PdfReader
 from langchain.text_splitter import CharacterTextSplitter
-from langchain.embeddings import HuggingFaceBgeEmbeddings
+from langchain.embeddings import HuggingFaceEmbeddings
 from langchain.vectorstores import FAISS
 from langchain.memory import ConversationBufferMemory
 from langchain.chains import ConversationalRetrievalChain
@@ -29,11 +29,11 @@ def get_text_chunks(text):
 
 
 def get_vectorstore(text_chunks):
-    model = "BAAI/bge-base-en-v1.5"
+    model = "sentence-transformers/all-MiniLM-L6-v2"
     encode_kwargs = {
         "normalize_embeddings": True
     } 
-    embeddings = HuggingFaceBgeEmbeddings(
+    embeddings = HuggingFaceEmbeddings(
         model_name=model, encode_kwargs=encode_kwargs, model_kwargs={"device": "cpu"}
     )
     vectorstore = FAISS.from_texts(texts=text_chunks, embedding=embeddings)
@@ -70,7 +70,7 @@ def main():
         page_icon="📄",
     )
 
-    st.markdown("# Chat with multiple PDFs 📄")
+    st.markdown("# Chat💬 with multiple PDFs 📄")
 
     st.write(css, unsafe_allow_html=True)
 
@@ -90,7 +90,7 @@ def main():
 
     with st.sidebar:
         st.subheader("Your documents")
-        st.text_input("You can upload multiple files at once")
+        st.text("You can upload multiple files at once")
         pdf_docs = st.file_uploader(
             "Upload your PDFs here and click on 'Process'", accept_multiple_files=True
         )