Update app.py

app.py

@@ -17,7 +17,11 @@ 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")
+qdrant_vectorstore = Qdrant(
+    client,
+    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)
 qna = RetrievalQA.from_chain_type(llm=llm, chain_type="stuff", retriever=retriever)