Update app.py

app.py

@@ -14,7 +14,7 @@ with open("brookline_data.txt", "r") as f:
 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()
+retriever = Qdrant.as_retriever(self)
 
 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)