Update retriever.py

retriever.py

@@ -5,13 +5,15 @@ from langchain_openai import AzureOpenAIEmbeddings
 import uuid
 import pandas as pd
 import streamlit as st
-
+import os 
 # Initialize Pinecone client
-pc = Pinecone(api_key=st.secrets["PC_API_KEY"])
+# pc = Pinecone(api_key=st.secrets["PC_API_KEY"])
+pc = Pinecone(api_key="567aca04-6fb0-40a0-ba92-a5ed30be190b")
 index = pc.Index("openai-serverless")
 
 # Azure OpenAI configuration
-os.environ["AZURE_OPENAI_API_KEY"] = st.secrets["api_key"]
+# os.environ["AZURE_OPENAI_API_KEY"] = st.secrets["api_key"]
+os.environ["AZURE_OPENAI_API_KEY"] = "86b631a9c0294e9698e327c59ff5ac2c"
 os.environ["AZURE_OPENAI_ENDPOINT"] = "https://davidfearn-gpt4.openai.azure.com/"
 os.environ["AZURE_OPENAI_DEPLOYMENT_NAME"] = "text-embedding-ada-002"
 os.environ["AZURE_OPENAI_API_VERSION"] = "2024-08-01-preview"
@@ -23,7 +25,10 @@ embeddings_model = AzureOpenAIEmbeddings(
     openai_api_version=os.environ["AZURE_OPENAI_API_VERSION"],
 )
 
-def retriever(query, namespace="gskRegIntel", top_k=3):
+def retriever(query):
+
+    namespace="gskRegIntel"
+    top_k=3
     """
     Embeds a query string and searches the vector database for similar entries.