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babelfish by sync.

This repo lets you deploy an app that can translate any video into any language with perfect lip-sync using AI <15 mins

Deploy with Vercel

tldr

launch your own video translation app w/ this repo. in <15 mins you can integrate video translation, voice cloning, and lip-syncing into your business / workflows.

How its built

High Level Diagram

What its built with

You can access the live demo by clicking the image below, or by clicking here.

Screenshot of demo

Deploying the production-ready app

To successfully deploy the template to production, execute the following steps in order:

1. Initiate Deployment

Deploy with Vercel

Clicking the Deploy button will open up a browser tab with instructions on generating a new GitHub repository from this template, creating a corrseponding project in Supabase for auth and storage and setting up Inngest for serverless queues. Below are the steps you'll walk through:

  1. Create Git Repository

    • Under Git Scope select the account you'd like to deploy the repo to.
    • Under Repository Name give your new repo a name.
  2. Add Integrations

    • The Supabase Vercel Deploy Integration handles configuration of environment variables and initiates the SQL migrations to construct your database schema. You can view the resulting tables in your project's Table editor.

      • Click Add in the Supabase integration and fill out the form that pops up.
    • The Inngest Vercel Integration handles configuration of environment variables related to Inngest.

      • Click Add in the Inngest integration and fill out the form that pops up.
  3. Configure Project

    Enter the environment variables required for this project. Below are links to documentation on how to obtain an API key for each of the required services to ensure full functionality.

2. Configure Auth

You'll need to configure your Supabase project's site URL and Vercel's NEXT_PUBLIC_SITE_URL and NEXT_PUBLIC_TRANSLATION_API environment variable to secure and streamline authentication.

  1. In your Supabase project, navigate to Authentication > URL configuration and enter your production URL (for example, https://your-deployment-url.vercel.app) as the site URL.

  2. In Vercel, under your project's deployment settings, create two new Production environment variables called NEXT_PUBLIC_SITE_URL and NEXT_PUBLIC_TRANSLATION_API and set both to your production URL. Make sure you uncheck the options for preview and development environments to maintain the correct operation for preview branches and local development.

3. Configure Storage

After that, you'll need to create a new storage bucket within your Supabase project to store video and audio files.

  1. In your Supabase project, navigate to Storage and click the New bucket button.

  2. Enter translation as the name for your new bucket and toggle Public bucket to on.

  3. Click Save

  4. Still in the Storage section of your Supabase project, click Policies and add the below policy:

  • Within the section called translation (the name of your bucket) click New policy then For full costumization and fill it in as shown below:

    Screenshot of translation storage bucket policy

  • Within the section called Other policies under storage.objects add the following three policies:

    Screenshot of storage bucket insert policy

    Screenshot of storage bucket select policy

    Screenshot of storage bucket update policy

4. (Optional) Configure Stripe

Next, you'll need to configure Stripe in order to handle test payments.

Click here to view the instructions.

5. (Optional) Set up OAuth with Github

In order to allow users to sign up via Github, you'll need to setup OAuth with Github

Click here to view the instructions.

6. (Optional) Create AWS Lambda function for uploading Youtube URLs

Finally, you'll need to create a Lambda function for uploading Youtube videos to Supabase Storage

Click here to view the instructions.

Running the NextJS app locally

When you innevitably want to make changes to the app, you'll need to run it locally.

You can deploy a second Supabase project so that you have an environment to use for local development, but this tutorial will assume you're using the Supabase project that you deployed in the top section.

1. Clone your GitHub repository to your local machine and make sure to use Node version 19.1.0 or above.

Clone the repository however you prefer.

2. Set up local environment variables

You can initialize a .env.local file by running:

cp .env.local.example .env.local

4. Test webhooks using the Stripe CLI (optional)

If you're setting up the app to include payments, you must run the Stripe CLI to simulate the webhook events.

In a seperate terminal, run the below command to initiate local webhook forwarding

stripe listen --forward-to=localhost:3000/api/webhooks

Running this Stripe command will print a webhook secret (whsec_***), to the console.

IMPORTANT -- Set STRIPE_WEBHOOK_SECRET to this value in your .env.local file.

5. Install dependencies and run the project

In a separate terminal, navigate to your project's root directory and run the following commands to install dependencies and start the dev server

yarn
yarn dev

Open your web browser and visit http://localhost:3000 to view your application.

FAQ

How to Contribute

We embrace the collaborative spirit of the open-source community.

To suggest enhancements or submit changes:

  1. Fork the repository.
  2. Create a new branch from dev for your changes.
  3. Commit your updates and push to your fork.
  4. Submit a pull request back to the dev branch of the original repository.

Your contributions are highly appreciated!

Additional Resources

License

Translation AI is released under the MIT License.

Common Problems

If you run into any issues, please contact us in the #translation-app channel in our Slack (click here to quickly join the channel).

You can also submit an issue to this repo.

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