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Update repository URLs to use langflow-ai instead of logspace-ai (#1642)

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* Update repository URLs to use langflow-ai instead of logspace-ai

* Update chat-widget.mdx to remove unnecessary imports and dependencies
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54
scripts/aws/README.ja.md
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@ -3,6 +3,7 @@
**想定時間**: 30 分
## 説明
Langflow on AWS では、 [AWS Cloud Development Kit](https://aws.amazon.com/cdk/?nc2=type_a) (CDK) を用いて Langflow を AWS 上にデプロイする方法を学べます。
このチュートリアルは、AWS アカウントと AWS に関する基本的な知識を有していることを前提としています。
@ -10,44 +11,47 @@ Langflow on AWS では、 [AWS Cloud Development Kit](https://aws.amazon.com/cdk
![langflow-archi](./img/langflow-archi.png)
AWS CDK によって Langflow のアプリケーションをデプロイします。アプリケーションは [Amazon CloudFront](https://aws.amazon.com/cloudfront/?nc1=h_ls) を介して配信されます。CloudFront は 2 つのオリジンを有しています。1 つ目は静的な Web サイトを配信するための [Amazon Simple Storage Service](https://aws.amazon.com/s3/?nc1=h_ls) (S3)、2 つ目は バックエンドと通信するための [Application Load Balancer](https://aws.amazon.com/elasticloadbalancing/application-load-balancer/?nc1=h_ls) (ALB) です。ALB の背後には FastAPI が動作する [AWS Fargate](https://aws.amazon.com/fargate/?nc2=type_a) 、データベースの [Amazon Aurora](https://aws.amazon.com/rds/aurora/?nc2=type_a) が作成されます。
Fargate は [Amazon Elastic Container Registry](https://aws.amazon.com/ecr/?nc1=h_ls) (ECR) に保存された Docker イメージを使用します。
Auroraのシークレットは [AWS Secrets Manager](https://aws.amazon.com/secrets-manager/?nc2=type_a) によって管理されます。
Aurora のシークレットは [AWS Secrets Manager](https://aws.amazon.com/secrets-manager/?nc2=type_a) によって管理されます。
# 環境構築とデプロイ方法
1. [AWS CloudShell](https://us-east-1.console.aws.amazon.com/cloudshell/home?region=us-east-1)を開きます。
1. 以下のコマンドを実行します。
```shell
git clone https://github.com/aws-samples/cloud9-setup-for-prototyping
cd cloud9-setup-for-prototyping
./bin/bootstrap
```
```shell
git clone https://github.com/aws-samples/cloud9-setup-for-prototyping
cd cloud9-setup-for-prototyping
./bin/bootstrap
```
1. `Done!` と表示されたら [AWS Cloud9](https://us-east-1.console.aws.amazon.com/cloud9control/home?region=us-east-1#/) から `cloud9-for-prototyping` を開きます。
![make-cloud9](./img/langflow-cloud9.png)
![make-cloud9](./img/langflow-cloud9.png)
1. 以下のコマンドを実行します。
```shell
git clone https://github.com/logspace-ai/langflow.git
cd langflow/scripts/aws
cp .env.example .env # 環境設定を変える場合はこのファイル(.env)を編集してください。
npm ci
cdk bootstrap
cdk deploy
```
```shell
git clone https://github.com/langflow-ai/langflow.git
cd langflow/scripts/aws
cp .env.example .env # 環境設定を変える場合はこのファイル(.env)を編集してください。
npm ci
cdk bootstrap
cdk deploy
```
1. 表示される URL にアクセスします。
```shell
Outputs:
LangflowAppStack.frontendURLXXXXXX = https://XXXXXXXXXXX.cloudfront.net
```
```shell
Outputs:
LangflowAppStack.frontendURLXXXXXX = https://XXXXXXXXXXX.cloudfront.net
```
1. サインイン画面でユーザー名とパスワードを入力します。`.env`ファイルでユーザー名とパスワードを設定していない場合、ユーザー名は`admin`、パスワードは`123456`で設定されます。
![make-cloud9](./img/langflow-signin.png)
![make-cloud9](./img/langflow-signin.png)
# 環境の削除
1. `Cloud9` で以下のコマンドを実行します。
```shell
bash delete-resources.sh
```
1. `Cloud9` で以下のコマンドを実行します。
```shell
bash delete-resources.sh
```
1. [AWS CloudFormation](https://us-east-1.console.aws.amazon.com/cloudformation/home?region=us-east-1#/getting-started)を開き、`aws-cloud9-cloud9-for-prototyping-XXXX` を選択して削除します。
![delete-cfn](./img/langflow-cfn.png)
![delete-cfn](./img/langflow-cfn.png)

20
scripts/aws/README.md
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@ -10,7 +10,7 @@ This tutorial assumes you have an AWS account and basic knowledge of AWS.
The architecture of the application to be created:
![langflow-archi](./img/langflow-archi.png)
Langflow is deployed using AWS CDK. The application is distributed via [Amazon CloudFront](https://aws.amazon.com/cloudfront/?nc1=h_ls), which has two origins: the first is [Amazon Simple Storage Service](https://aws.amazon.com/s3/?nc1=h_ls) (S3) for serving a static website, and the second is an [Application Load Balancer](https://aws.amazon.com/elasticloadbalancing/application-load-balancer/?nc1=h_ls) (ALB) for communicating with the backend. [AWS Fargate](https://aws.amazon.com/fargate/?nc2=type_a), where FastAPI runs and [Amazon Aurora](https://aws.amazon.com/rds/aurora/?nc2=type_a), the database, are created behind the ALB.
Fargate uses a Docker image stored in [Amazon Elastic Container Registry](https://aws.amazon.com/ecr/?nc1=h_ls) (ECR).
Fargate uses a Docker image stored in [Amazon Elastic Container Registry](https://aws.amazon.com/ecr/?nc1=h_ls) (ECR).
Aurora's secret is managed by [AWS Secrets Manager](https://aws.amazon.com/secrets-manager/?nc2=type_a).
# How to set up your environment and deploy langflow
@ -26,14 +26,14 @@ Aurora's secret is managed by [AWS Secrets Manager](https://aws.amazon.com/secre
1. When you see `Done!` in Cloudshell, open `c9-for-langflow` from [AWS Cloud9](https://us-east-1.console.aws.amazon.com/cloud9control/home?region=us-east-1#/).
![make-cloud9](./img/langflow-cloud9-en.png)
1. Run the following command in the Cloud9 terminal.
```shell
git clone https://github.com/logspace-ai/langflow.git
cd langflow/scripts/aws
cp .env.example .env # Edit this file if you need environment settings
npm ci
cdk bootstrap
cdk deploy
```
```shell
git clone https://github.com/langflow-ai/langflow.git
cd langflow/scripts/aws
cp .env.example .env # Edit this file if you need environment settings
npm ci
cdk bootstrap
cdk deploy
```
1. Access the URL displayed.
```shell
Outputs:
@ -50,4 +50,4 @@ Aurora's secret is managed by [AWS Secrets Manager](https://aws.amazon.com/secre
```
1. Open [AWS CloudFormation](https://us-east-1.console.aws.amazon.com/cloudformation/home?region=us-east-1#/getting-started), select `aws-cloud9-c9-for-langflow-XXXX` and delete it.
![delete-cfn](./img/langflow-cfn.png)
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