From 13f7a52a170d78caa26083d9d9e3eb84735f10ac Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Tomasz=20D=C5=82uski?= <mr.toumash@gmail.com>
Date: Mon, 24 Aug 2020 00:19:41 +0200
Subject: [PATCH] updated README.md

---
 README.md | 11 ++++-------
 1 file changed, 4 insertions(+), 7 deletions(-)

diff --git a/README.md b/README.md
index bd2ea1a..6e84db6 100644
--- a/README.md
+++ b/README.md
@@ -10,9 +10,8 @@ AWS S3 based [on this article ](https://dev.to/goodidea/how-to-fake-aws-locally-
 1. Configure `.env` file for your choice
 
 2. Create mlflow bucket. You can do it either using AWS CLI or Python Api
+<details><summary>**AWS CLI**</summary>
 
-<summary>AWS CLI
-<details>
 1. [Install AWS cli](https://aws.amazon.com/cli/) **Yes, i know that you dont have an Amazon Web Services Subscription - dont worry! It wont be needed!**
 2. Configure AWS CLI - enter the same credentials from the `.env` file
 
@@ -28,11 +27,10 @@ aws configure
 ```shell
 aws --endpoint-url=http://localhost:9000 s3 mb s3://mlflow
 ```
-</details>
-</summary>
 
-<summary>Python API
-<details>
+</details>
+
+<details><summary>**Python API**</summary>
 
 1. Install Minio
 ```shell
@@ -53,7 +51,6 @@ s3Client.make_bucket('mlflow')
 ```
 
 </details>
-</summary>
 
 
 3. Open up http://localhost:5000/#/ for MlFlow, and http://localhost:9000/minio/mlflow/ for S3 bucket (you artifacts) with credentials from `.env` file