https://github.com/starkdmi/avatarstickers

Animated stickers for Telegram and WhatsApp based on face features using AI | iOS application
https://github.com/starkdmi/avatarstickers

ai avatar ios lottie stickers swift swiftui telegram whatsapp

Last synced: 10 months ago
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Animated stickers for Telegram and WhatsApp based on face features using AI | iOS application

• Host: GitHub
• URL: https://github.com/starkdmi/avatarstickers
• Owner: starkdmi
• License: gpl-3.0
• Created: 2022-01-29T16:25:05.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2022-02-14T20:10:20.000Z (over 4 years ago)
• Last Synced: 2024-11-08T02:44:37.842Z (over 1 year ago)
• Topics: ai, avatar, ios, lottie, stickers, swift, swiftui, telegram, whatsapp
• Language: Swift
• Homepage: https://avatarstickers.app
• Size: 75.6 MB
• Stars: 9
• Watchers: 3
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
## About

[**Avatar Stickers**](https://apps.apple.com/us/app/avatar-stickers/id1574023061) - iOS application that allows you to create an animated stickers and export them to **Telegram** and **WhatsApp** messengers. The application was created while participating in the [contest](https://contest.com/sticker-app). Server code is available [here](https://github.com/starkdmi/AvatarStickersServer).

## Features

- [x] **Generate animated stickers**

- [x] **In-app stickers preview**

- [x] **Export to Telegram and WhatsApp**

- [x] **Sync sticker collections with iCloud**

- [x] **Share raw files (Lottie, TGS and WebP)**

- [x] **Available without network connection (Except the export)**

## Screenshots

|  Version  |  Gallery  | Recognition | Selection  |   Intro   | Settings  |   Launch   | 

| --- | --- | --- | --- | --- | --- | --- | 

| **1.0** |  |  |  | | | |

| **2.0** |  |  |  |  |  |  |

| **Video** | [](https://user-images.githubusercontent.com/21260939/152046454-5ebee789-474c-400b-8943-0c323cee3d0a.mp4) | [](https://user-images.githubusercontent.com/21260939/152052647-e8679f3a-bb93-47dd-a6a6-c30f36276f89.mp4) | [](https://user-images.githubusercontent.com/21260939/152047833-5f4f3756-1cff-4d74-841a-cd0399edeb42.mp4) | [](https://user-images.githubusercontent.com/21260939/152047995-23906c22-6fae-40a9-8f5b-09710cad83a8.mp4) | | |

## Stack 

- SwiftUI

- Combine

- Core Data

- Core ML

- Swift Package Manager

- Fastlane

## Build

Clone the project and open it in Xcode. Xcode will download Swift Packages automatically. You will need to provide an iCloud identifier in **TGStickersImport.entitlements** for Core Data cloud synchronization.

## Schemes

- **Debug** - Mocked animations and network requests (no server)

- **Local** - Requests in local network. Used in pair with local server

- **Release** - App Store 

## Xcode Previews

With power of SwiftUI the previews works as expected including mocked animations and Core Data.

    

        

        

    

    

        

        

    

## Core ML

Most of the ML models were created using CreateML and public datasets. 10K images used per class which can also be improved.

## TODO

- [ ] Server API Key Security (using Configuration file)

- [ ] Export to different Telegram apps (non-official)

- [ ] Accessibility

## App Store

- Application main features was released during **Telegram contest from June 25 to July 4**. 

- The application was published in App Store in **August 2021** (after two weeks review). 

- In **Semptember** new updates were blocked due the **Guideline 4.3 - Design**

 

    >Same feature set as other apps submitted to the App Store

- In **November Telegram** paid **750$** for the **3rd place** in the **Sticker App Contest**.

- In **January 2022** I've decided to **Open Source** it.

The application is still in App Store and available for **free** but will not receive any updates because of the App Store vague rules.

## Licenses

- [Lottie](https://github.com/airbnb/lottie-ios) - Apache 2.0

- [Fastlane](https://github.com/fastlane/fastlane) - MIT

- [SDWebImageSwiftUI](https://github.com/SDWebImage/SDWebImageSwiftUI) - MIT

- [GzipSwift](https://github.com/1024jp/GzipSwift) - MIT

- [TelegramStickersImport](https://github.com/TelegramMessenger/TelegramStickersImport) - MIT

- [WhatsApp Stickers](https://github.com/WhatsApp/stickers) - BSD

- [YPImagePicker](https://github.com/Yummypets/YPImagePicker) - MIT

- [ChameleonFramework](https://github.com/vicc/chameleon) - MIT

- [LicensePlist](https://github.com/mono0926/LicensePlist) - MIT

- [IconGenerator](https://github.com/onmyway133/IconGenerator) - MIT