Update app.py

app.py

@@ -16,7 +16,8 @@ import os
 #from langchain.embeddings import OpenAIEmbeddings
 
 #New import from langchain, which replaces the above
-from langchain_openai import OpenAIEmbeddings
+from langchain_community.embeddings import HuggingFaceEmbeddings
+#from langchain_openai import OpenAIEmbeddings
 
 
 #FAISS is an open-source library developed by Facebook AI Research for efficient similarity search and clustering of large-scale datasets, particularly with high-dimensional vectors. 
@@ -40,11 +41,11 @@ load_dotenv()
 
 
 #By using st.set_page_config(), you can customize the appearance of your Streamlit application's web page
-st.set_page_config(page_title="Educate Kids", page_icon=":robot:")
+st.set_page_config(page_title="Somesh Is Educating Kids", page_icon=":robot:")
 st.header("Hey, Ask me something & I will give out similar things")
 
 #Initialize the OpenAIEmbeddings object
-embeddings = OpenAIEmbeddings()
+embeddings = HuggingFaceEmbeddings()
 
 #The below snippet helps us to import CSV file data for our tasks
 from langchain.document_loaders.csv_loader import CSVLoader