updated README.md

This commit is contained in:
Tomasz Dłuski
2020-08-24 00:20:18 +02:00
parent 13f7a52a17
commit 8fdadfa404

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@@ -9,8 +9,8 @@ AWS S3 based [on this article ](https://dev.to/goodidea/how-to-fake-aws-locally-
1. Configure `.env` file for your choice 1. Configure `.env` file for your choice
2. Create mlflow bucket. You can do it either using AWS CLI or Python Api 2. Create mlflow bucket. You can do it **either using AWS CLI or Python Api**
<details><summary>**AWS CLI**</summary> <details><summary>AWS CLI</summary>
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!** 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 2. Configure AWS CLI - enter the same credentials from the `.env` file
@@ -30,7 +30,7 @@ aws --endpoint-url=http://localhost:9000 s3 mb s3://mlflow
</details> </details>
<details><summary>**Python API**</summary> <details><summary>Python API</summary>
1. Install Minio 1. Install Minio
```shell ```shell