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0.0 2.0 0.0 37.11 MB

Home Page: https://branding-chat.vercel.app

License: GNU General Public License v3.0

Python 26.58% JavaScript 8.36% Dockerfile 2.52% Shell 2.10% TypeScript 50.70% CSS 9.74%

branding_chat's Introduction

Copykitt: Tutorial Project

This is a SaaS application that generates AI branding snippets and keywords for the customer's brand. It is a full stack application, and created as a tutorial for how to create AI driven full-stack SaaS apps.

Examples

Try out the demo here (requires authentication): https://www.copykitt.co

copykitt_results_image

Lambda Layer ZIP

I've decided to actually commit the Lambda layer zip file itself along with the project since a few people have told me they have trouble building this Docker image themselves.

So you can either follow the tutorial and try to build it (it's easier on a Linux or Mac), or if it doesn't work, then just use the copykitt-infra/lambda_base_layer/layer.zip file I have provided.

Tech Stack

Backend Stack

Type Tech
Language Python
Framework FastAPI
Hosting AWS (Lambda + API Gateway)
Other OpenAI, AWS CDK, Docker

Frontend Stack

Type Tech
Language Typescript
Framework NextJS / React
Styling TailwindCSS
Hosting Vercel

Tutorial Checkpoints

I've also added each part of the tutorial as a separate commit so it's easier to follow.

Checkpoint
Python app to call OpenAI 1e88180
Add FastAPI to Python app aabaa16
Host API on AWS 174d14f
Create NextJS/React website d1007b3
Styling with TailwindCSS 818d04b

branding_chat's People

Contributors

maxiaotian520 avatar

Watchers

James Cloos avatar  avatar

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