Update app.py

app.py

@@ -15,13 +15,13 @@ from langchain.smith import RunEvalConfig, run_on_dataset
 # Load API Keys From the .env File & Load the OpenAI, Pinecone, and LangSmith Client
 #------------------------------------------------------------------------
 
-# # Fetch the OpenAI API key from Streamlit secrets
-# OPENAI_API_KEY = st.secrets["OPENAI_API_KEY"]
-# # Retrieve the OpenAI API Key from secrets
-# openai.api_key = st.secrets["OPENAI_API_KEY"]
+# Fetch the OpenAI API key from Streamlit secrets
+OPENAI_API_KEY = st.secrets["OPENAI_API_KEY"]
+# Retrieve the OpenAI API Key from secrets
+openai.api_key = st.secrets["OPENAI_API_KEY"]
 
-os.environ["OPENAI_API_KEY"] = st.secrets["OPENAI_API_KEY"]
-openai.api_key = os.getenv("OPENAI_API_KEY")
+# os.environ["OPENAI_API_KEY"] = st.secrets["OPENAI_API_KEY"]
+# openai.api_key = os.getenv("OPENAI_API_KEY")
 
 # # Fetch Pinecone API key and environment from Streamlit secrets
 PINECONE_API_KEY = st.secrets["PINECONE_API_KEY"]
@@ -48,8 +48,8 @@ index_name = 'mimtssinkqa'
 
 # Initialize the OpenAI embeddings object 
 from langchain_openai import OpenAIEmbeddings
-# embeddings = OpenAIEmbeddings(openai_api_key=OPENAI_API_KEY)
-embeddings = OpenAIEmbeddings()
+embeddings = OpenAIEmbeddings(openai_api_key=OPENAI_API_KEY)
+# embeddings = OpenAIEmbeddings()
 
 
 # LOAD VECTOR STORE FROM EXISTING INDEX
@@ -63,8 +63,8 @@ def ask_with_memory(vector_store, query, chat_history=[]):
 
     from langchain.prompts import ChatPromptTemplate, SystemMessagePromptTemplate, HumanMessagePromptTemplate
 
-    # llm = ChatOpenAI(model_name='gpt-3.5-turbo', temperature=0.5, openai_api_key=OPENAI_API_KEY)
-    llm = ChatOpenAI(model_name='gpt-3.5-turbo', temperature=0.5)
+    llm = ChatOpenAI(model_name='gpt-3.5-turbo', temperature=0.5, openai_api_key=OPENAI_API_KEY)
+    # llm = ChatOpenAI(model_name='gpt-3.5-turbo', temperature=0.5)
     
     retriever = vector_store.as_retriever(search_type='similarity', search_kwargs={'k': 3})