mvectors

utilities/mvectors.py

@@ -6,7 +6,8 @@ import streamlit as st
 import boto3
 import json
 
-runtime = boto3.client('sagemaker-runtime',region_name='us-east-1')
+runtime = boto3.client('sagemaker-runtime',aws_access_key_id=st.secrets['user_access_key'],
+    aws_secret_access_key=st.secrets['user_secret_key'],region_name='us-east-1')
 # Load model from HuggingFace Hub
 tokenizer = AutoTokenizer.from_pretrained('sentence-transformers/all-MiniLM-L6-v2')
 endpoint_name = 'huggingface-pytorch-inference-2025-05-21-16-31-07-967'