Update app.py

app.py

@@ -8,16 +8,18 @@ openai_api_key = st.secrets["openai_api_key"]
 # Initialize the OpenAI service with 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"]
-
-# AUTHENTICATE/INITIALIZE PINCONE SERVICE
-from pinecone import Pinecone
-# pc = Pinecone(api_key=pinecone_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"]
+
+# # AUTHENTICATE/INITIALIZE PINCONE SERVICE
+# from pinecone import Pinecone
+# # pc = Pinecone(api_key=PINECONE_API_KEY)
 # pc = Pinecone (api_key= 'YOUR_API_KEY')
-Pinecone(api_key=pinecone_api_key, environment=pinecone_environment)
+
+PINECONE_API_KEY = "555c0e70-331d-4b43-aac7-5b3aac5078d6"
+pc = Pinecone(api_key=PINECONE_API_KEY)
 
 # # Define the name of the Pinecone index
 index_name = 'mimtssinkqa'
@@ -27,10 +29,8 @@ 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
-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)
+from langchain_community.vectorstores import Pinecone
+vector_store = Pinecone.from_existing_index(index_name='mimtssinkqa', embedding=embeddings)
 
 def ask_with_memory(vector_store, query, chat_history=[]):
     from langchain_openai import ChatOpenAI