Update app.py

app.py

@@ -27,12 +27,19 @@ text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=20
 splits = text_splitter.split_documents(doc)
 
 # Create a vector store and retriever
-vectorstore = Chroma.from_documents(documents=splits, embedding=gemini_embeddings)
+
+from langchain_chroma import Chroma
+from langchain_chroma import chromadb
+
+# Use Chroma in-memory mode for temporary storage
+vectorstore = Chroma.from_documents(documents=splits, embedding=gemini_embeddings, persist_directory=None)
 retriever = vectorstore.as_retriever()
 
 
 
 
+
+
 from langchain.prompts.chat import ChatPromptTemplate, MessagesPlaceholder
 
 # Define system prompt, ensuring that `context` is specified as an input