# "Script Generator" Application In this application, you can generate **Script file** in Video file. When you upload video file to S3 bucket, state machine will start processing **video to text**. The script content is extracted from the video and stored as `script.txt` in S3. Learn more about this workflow at Step Functions workflows collection: *To be Added...* ![image](./resources/statemachine.png) ## How to Deploy 0. First, you should install [AWS SAM CLI](https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/serverless-sam-cli-install.html) (Serverless Application Model) 1. Create a new directory, navigate to that directory in a terminal and clone the GitHub repository: ``` git clone https://github.com/aws-samples/step-functions-workflows-collection cd step-functions-workflows-collection/script-generator ``` 2. From the command line, use AWS SAM to deploy the AWS resources for the workflow as specified in the template.yaml file: ``` sam deploy --guided ``` *You can set the default value by pressing the enter key continuously. Below is example commands. ```bash Configuring SAM deploy ====================== Looking for config file [samconfig.toml] : Not found Setting default arguments for 'sam deploy' ========================================= Stack Name [sam-app]: AWS Region [ap-northeast-2]: #Shows you resources changes to be deployed and require a 'Y' to initiate deploy Confirm changes before deploy [y/N]: y #SAM needs permission to be able to create roles to connect to the resources in your template Allow SAM CLI IAM role creation [Y/n]: Save arguments to configuration file [Y/n]: SAM configuration file [samconfig.toml]: SAM configuration environment [default]: Looking for resources needed for deployment: Creating the required resources... ``` 3. When all resources are provisioned, Upload your video file to `transcript-media` bucket in S3. image 4. After that, state machine will be deployed. When deployments are done, you can see `script.txt` file in `transcript-results` S3 bucket. image ## Cleanup 1. Delete the stack ```bash aws cloudformation delete-stack --stack-name STACK_NAME ``` 1. Confirm the stack has been deleted ```bash aws cloudformation list-stacks --query "StackSummaries[?contains(StackName,'STACK_NAME')].StackStatus" ``` ### Requirements * [Create an AWS account](https://portal.aws.amazon.com/gp/aws/developer/registration/index.html) if you do not already have one and log in. The IAM user that you use must have sufficient permissions to make necessary AWS service calls and manage AWS resources. * [AWS CLI](https://docs.aws.amazon.com/cli/latest/userguide/install-cliv2.html) installed and configured * [Git Installed](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git) * [AWS Serverless Application Model](https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/serverless-sam-cli-install.html) (AWS SAM) installed ---- Copyright 2022 Amazon.com, Inc. or its affiliates. All Rights Reserved. SPDX-License-Identifier: MIT-0