Update app.py

app.py

@@ -1,9 +1,10 @@
 import gradio as gr
+from langchain.embeddings import OpenAIEmbeddings
 from langchain.vectorstores import FAISS
 import os
 
 os.environ["OPENAI_API_KEY"] = os.environ["openai"]
-embeddings = OpenAIEmbeddings(model="text-embedding-3-large")  # Using OpenAI's embeddings to represent text
+embeddings = OpenAIEmbeddings(model="text-embedding-3-large")
 
 # Load the vector store
 vector_store = FAISS.load_local(
@@ -43,5 +44,4 @@ with gr.Blocks() as demo:
     submit_button.click(fn=lambda query, k: '', inputs=[input_text, k_value], outputs=output_text)
     submit_button.click(fn=retrieve_result, inputs=[input_text, k_value], outputs=output_text)   
 
-# Launch the UI
 demo.launch()