Update app.py

app.py

@@ -145,8 +145,8 @@ import gradio as gr
 from langchain.chat_models import ChatOpenAI
 from langchain.document_loaders import PyPDFLoader
 from langchain.text_splitter import CharacterTextSplitter
-from langchain.embeddings.openai import OpenAIEmbeddings
-from langchain.vectorstores import Chroma
+# from langchain.embeddings.openai import OpenAIEmbeddings
+# from langchain.vectorstores import Chroma
 from langchain.chains import RetrievalQA
 from tempfile import NamedTemporaryFile
 
@@ -174,7 +174,9 @@ def load_pdf_and_create_qa_chain(pdf_file):
     # Split into chunks
     text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=100)
     texts = text_splitter.split_documents(documents)
-
+    
+    from langchain.vectorstores import Chroma
+    from langchain.embeddings.openai import OpenAIEmbeddings
     # Embed and store in vector DB
     embeddings = OpenAIEmbeddings()
     db = Chroma.from_documents(texts, embeddings)