Update app.py

app.py

@@ -15,6 +15,7 @@ text_splitter = RecursiveCharacterTextSplitter(chunk_size=100, chunk_overlap=20)
 splitted_data = text_splitter.split_text(data)
 embeddings = HuggingFaceEmbeddings(model_name='sentence-transformers/all-mpnet-base-v2')
 #retriever = Qdrant.as_retriever()
+client = QdrantClient(":memory:") 
 qdrant_vectorstore = Qdrant(client, embeddings.embed_query, collection_name="my_documents")
 retriever = qdrant_vectorstore.as_retriever() 
 llm = HuggingFaceHub(repo_id="ahmadmac/Trained-T5-large", model_kwargs={"temperature": 0.5, "max_length": 512},huggingfacehub_api_token=hf_token)