added llm object

app.py

@@ -34,12 +34,14 @@ document_content_description = "Excerpt's from Reid Hoffman's book Impromptu"
 embeddings = OpenAIEmbeddings()
 
 pinecone.init(
- api_key=str(os.environ['PINECONE_API_KEY']), 
- environment=str(os.environ['PINECONE_ENV']))
+     api_key=str(os.environ['PINECONE_API_KEY']), 
+     environment=str(os.environ['PINECONE_ENV']))
+
 index_name = str(os.environ['PINECONE_INDEX_NAME'])
 
 def load_chain():
     docsearch = Pinecone.from_existing_index(index_name, embeddings)
+    llm = OpenAI(temperature=0)
     retriever = SelfQueryRetriever.from_llm(
          llm, 
          vectorstore,