Update app.py

app.py

@@ -9,16 +9,17 @@ openai_api_key = st.secrets["openai_api_key"]
 openai.api_key = openai_api_key
 
 # Fetch Pinecone API key and environment from Streamlit secrets
-# pinecone_api_key = st.secrets["pinecone_api_key"]
-pinecone_api_key = '555c0e70-331d-4b43-aac7-5b3aac5078d6'
-# pinecone_environment = st.secrets["pinecone_environment"]
+pinecone_api_key = st.secrets["pinecone_api_key"]
+# pinecone_api_key = '555c0e70-331d-4b43-aac7-5b3aac5078d6'
+pinecone_environment = st.secrets["pinecone_environment"]
 
 # AUTHENTICATE/INITIALIZE PINCONE SERVICE
 from pinecone import Pinecone
-pc = Pinecone(api_key=pinecone_api_key)
+# pc = Pinecone(api_key=pinecone_api_key)
 # pc = Pinecone (api_key= 'YOUR_API_KEY')
+Pinecone(api_key=pinecone_api_key, environment=pinecone_environment)
 
-# Define the name of the Pinecone index
+# # Define the name of the Pinecone index
 index_name = 'mimtssinkqa'
 
 # Initialize the OpenAI embeddings object 
@@ -26,8 +27,10 @@ from langchain_openai import OpenAIEmbeddings
 embeddings = OpenAIEmbeddings(openai_api_key=openai_api_key)
 
 # LOAD VECTOR STORE FROM EXISTING INDEX
-from langchain_community.vectorstores import Pinecone
-vector_store = Pinecone.from_existing_index(index_name='mimtssinkqa', embedding=embeddings)
+# from langchain_community.vectorstores import Pinecone
+from langchain_community.vectorstores import Pinecone as PineconeStore
+# vector_store = Pinecone.from_existing_index(index_name='mimtssinkqa', embedding=embeddings)
+vector_store = PineconeStore.from_existing_index(index_name=index_name, embedding=embeddings)
 
 def ask_with_memory(vector_store, query, chat_history=[]):
     from langchain_openai import ChatOpenAI