Update app.py

app.py

@@ -1,4 +1,3 @@
-
 ## Setup
 # Import the necessary Libraries
 import os
@@ -7,13 +6,9 @@ import json
 import gradio as gr
 
 from openai import OpenAI
-#from langchain_community.embeddings.sentence_transformer import SentenceTransformerEmbeddings
-#from langchain_huggingface import HuggingFaceEmbeddings
-#from langchain.embeddings import OpenAIEmbeddings
 from langchain_community.embeddings import OpenAIEmbeddings
 from langchain_openai import OpenAIEmbeddings
 from langchain_community.vectorstores import Chroma
-#from langchain.vectorstores import Chroma
 from langchain_chroma import Chroma
 from huggingface_hub import CommitScheduler
 from pathlib import Path
@@ -29,10 +24,9 @@ client = OpenAI(
 )
 
 # Define the embedding model and the vectorstore
-#embedding_model = SentenceTransformerEmbeddings(model_name='thenlper/gte-small')
-#embedding_model = HuggingFaceEmbeddings(model_name='thenlper/gte-small')
 embedding_model = OpenAIEmbeddings(model="text-embedding-ada-002", openai_api_key=openai_api_key)
 model_name = 'gpt-4o-mini'
+
 #Load the persisted vectorDB
 collection_name = '10k_embeddings'