This directory contains the code for the Web-UI of Tutor-GPT. It is developed using Next.js and pnpm.
The project uses Supabase for authentication and managing users subscriptions with stripe
Clone the repo and install the necessary NodeJS depenencies
git clone https://github.com/plastic-labs/tutor-gpt.git && cd tutor-gpt/www
pnpm install
Set up your environment variables in a .env.local
file. Then launch the development server.
pnpm run dev
Open http://localhost:3000 with your browser to see the result.
This section goes over the various environment variables necessary to run the
Tutor-GPT webui. A .env.template
file is provided to get started quickly.
Core
NEXT_PUBLIC_SITE_URL
— The URL that the Next.js application will run from. For local development it will behttp://localhost:3000
by default.NEXT_PUBLIC_API_URL
— The URL that the FastAPI backend is running from.
Supabase
NEXT_PUBLIC_SUPABASE_URL
— The URL for your Supabase project.NEXT_PUBLIC_SUPABASE_ANON_KEY
— The public API key for your Supabase project.SUPABASE_SERVICE_ROLE_KEY
— The service key for the Supabase project.
Stripe
NEXT_PUBLIC_STRIPE_ENABLED
— A feature flag to enable or disable stripe. By default, it isfalse
STRIPE_SECRET_KEY
— The stripe secret keyNEXT_PUBLIC_STRIPE_PUBLISHABLE_KEY
— The stripe public keySTRIPE_WEBHOOK_SECRET
— The stripe webhook secret
Below are several optional environment variables to enable error monitoring and analytics.
Sentry
NEXT_PUBLIC_SENTRY_DSN
— The Sentry DSNSENTRY_ENVIRONMENT
— The Sentry environmentSENTRY_RELEASE
— The Sentry release
Posthog
NEXT_PUBLIC_POSTHOG_KEY
— The Posthog project keyNEXT_PUBLIC_POSTHOG_HOST
— The Posthog host
This project uses supabase for managing authentication and keeping track of stripe subscriptions. We recommend for testing and local development to use a local instance of supabase. The supabase-cli is the best way to do this.
Follow the Supabase Documentation for more information. The project contains a supabase/
folder that contains the scaffolding SQL migrations necessary for setting up the necessary tables. Once you have the supabase cli installed you can simply run the below command in the tutor-gpt
folder and a local instance of Supabase will start up.
NOTE: Local Supabase relies on docker so ensure docker is also running before running the below command
supabase start
Another, useful note about doing testing locally with supabase is that there is no need to verify an account when it is created so you can create a new account on the webui and then immediately sign in with it.
This application uses the new Supabase SSR features and the PKCE authentication flow. So there are a few setup steps required before the app works with Supabase.
The main change is that the email templates for authentication need to be modified to perform the token exchange
Confirm Signup
<h2>Confirm your signup</h2>
<p>Follow this link to confirm your user:</p>
<p>
<a href="{{ .SiteURL }}/auth/confirm?token_hash={{ .TokenHash }}&type=email"
>Confirm your email</a
>
</p>
Invite User
<h2>You have been invited</h2>
<p>
You have been invited to create a user on {{ .SiteURL }}. Follow this link to
accept the invite:
</p>
<p>
<a
href="{{ .SiteURL }}/auth/confirm?token_hash={{ .TokenHash }}&type=invite&next=/path-to-your-update-password-page"
>Accept the invite</a
>
</p>
Magic Link
<h2>Magic Link</h2>
<p>Follow this link to login:</p>
<p>
<a
href="{{ .SiteURL }}/auth/confirm?token_hash={{ .TokenHash }}&type=magiclink"
>Log In</a
>
</p>
Change Email Address
<h2>Confirm Change of Email</h2>
<p>
Follow this link to confirm the update of your email from {{ .Email }} to {{
.NewEmail }}:
</p>
<p>
<a
href="{{ .SiteURL }}/auth/confirm?token_hash={{ .TokenHash }}&type=email_change"
>
Change Email
</a>
</p>
Reset Password
<h2>Reset Password</h2>
<p>Follow this link to reset the password for your user:</p>
<p>
<a
href="{{ .SiteURL }}/auth/confirm?token_hash={{ .TokenHash }}&type=recovery&next=/auth/reset"
>Reset Password</a
>
</p>
A Dockerfile
is included for convenience in self hosting an local development.
to build and run the image run the following commands
cd tutor-gpt/www
docker build -t tutor-gpt-web .
docker run --env-file .env.local -p 3000:3000 tutor-gpt-web