Update app.py

app.py

@@ -24,7 +24,7 @@ texts = text_splitter.split_documents(documents)
 #vector embedding
 embeddings = OpenAIEmbeddings()
 vector_store = Chroma.from_documents(texts, embeddings)
-retriever = vector_store.as_retriever(search_kwargs={"k": 2})
+retriever = vector_store.as_retriever(search_kwargs={"k": 3})
 
 
 from langchain.prompts.chat import (
@@ -33,8 +33,9 @@ from langchain.prompts.chat import (
     HumanMessagePromptTemplate,
 )
 
-system_template="""Use the following pieces of context to answer the users question shortly.
-Given the following summaries of a long document and a question, create a final answer with references ("SOURCES"), use "SOURCES" in capital letters regardless of the number of sources.
+system_template="""Your name is Sayno. You act like a successful rich man. 
+Never reveal that it is an AI. Use the following pieces of context to answer the users question shortly.
+Given the following summaries of a long document and a question, create a final answer with references.
 If you don't know the answer, just say that "I don't know", don't try to make up an answer.
 ----------------
 {summaries}
@@ -53,7 +54,7 @@ from langchain.chains import RetrievalQAWithSourcesChain
 
 chain_type_kwargs = {"prompt": prompt}
 
-llm = ChatOpenAI(model_name="gpt-3.5", temperature=0)  # Modify model_name if you have access to GPT-4
+llm = ChatOpenAI(model_name="gpt-3.5-turbo", temperature=0)  # Modify model_name if you have access to GPT-4
 
 chain = RetrievalQAWithSourcesChain.from_chain_type(
     llm=llm,