Update app.py

app.py

@@ -625,14 +625,16 @@ texts = text_splitter.split_text(state_of_the_union)
 
 embeddings = OpenAIEmbeddings()
 vectorstore = FAISS.from_texts(texts, embeddings)
-qa = VectorDBQA.from_chain_type(llm=OpenAI(), chain_type="stuff", vectorstore=vectorstore)
+qa = VectorDBQA.from_chain_type(llm=OpenAI(model_name="text-davinci-003", temperature=0, max_tokens=256), chain_type="stuff", vectorstore=vectorstore)
+#llm = ChatOpenAI(model_name="gpt-3.5-turbo", temperature=0, max_tokens=256)  # Modify model_name if you have access to GPT-4
+
 
 from langchain.chains import load_chain
 
 chain = load_chain("lc://chains/vector-db-qa/stuff/chain.json", vectorstore=vectorstore)
 
 def run_chain(query):
-    return chain.run(query,temperature=0)
+    return chain.run(query)
 
 inputs = gr.inputs.Textbox(lines=1, label="Enter your Question:")
 outputs = gr.outputs.Textbox(label="Answer:")