Update app.py

app.py

@@ -15,10 +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")
 
 # # Fetch Pinecone API key and environment from Streamlit secrets
 PINECONE_API_KEY = st.secrets["PINECONE_API_KEY"]
@@ -27,14 +30,14 @@ from pinecone import Pinecone
 # PINECONE_API_KEY = "555c0e70-331d-4b43-aac7-5b3aac5078d6"
 pc = Pinecone(api_key=PINECONE_API_KEY)
 
-os.environ["OPENAI_API_KEY"] = st.secrets["api_keys"]["OPENAI_API_KEY"]
-os.environ["LANGCHAIN_API_KEY"] = st.secrets["api_keys"]["LANGCHAIN_API_KEY"]
-# Set other LangChain configurations as environment variables
-os.environ["LANGCHAIN_TRACING_V2"] = "true"
-os.environ["LANGCHAIN_ENDPOINT"] = "https://api.smith.langchain.com"
-os.environ["LANGCHAIN_PROJECT"] = "Inkqa"
+# os.environ["OPENAI_API_KEY"] = st.secrets["api_keys"]["OPENAI_API_KEY"]
+# os.environ["LANGCHAIN_API_KEY"] = st.secrets["api_keys"]["LANGCHAIN_API_KEY"]
+# # Set other LangChain configurations as environment variables
+# os.environ["LANGCHAIN_TRACING_V2"] = "true"
+# os.environ["LANGCHAIN_ENDPOINT"] = "https://api.smith.langchain.com"
+# os.environ["LANGCHAIN_PROJECT"] = "Inkqa"
 
-client = Client() # Langsmith client
+# client = Client() # Langsmith client
 
 #------------------------------------------------------------------------
 # Initialize 
@@ -45,7 +48,9 @@ index_name = 'mimtssinkqa'
 
 # Initialize the OpenAI embeddings object 
 from langchain_openai import OpenAIEmbeddings
-embeddings = OpenAIEmbeddings(openai_api_key=OPENAI_API_KEY)
+# embeddings = OpenAIEmbeddings(openai_api_key=OPENAI_API_KEY)
+embeddings = OpenAIEmbeddings()
+
 
 # LOAD VECTOR STORE FROM EXISTING INDEX
 from langchain_community.vectorstores import Pinecone
@@ -58,7 +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, 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})