https://github.com/abhishtagatya/text2meme

🖼️ Text2Meme is a Meme Classification Experiment based on Caption Text (Implemented as a Discord Bot)
https://github.com/abhishtagatya/text2meme

discord-bot kaggle linear-svc meme-generator tfidf-vectorizer

Last synced: about 11 hours ago
JSON representation

🖼️ Text2Meme is a Meme Classification Experiment based on Caption Text (Implemented as a Discord Bot)

• Host: GitHub
• URL: https://github.com/abhishtagatya/text2meme
• Owner: abhishtagatya
• Created: 2020-04-24T14:39:16.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-12-08T13:29:26.000Z (almost 2 years ago)
• Last Synced: 2024-05-08T00:12:28.344Z (6 months ago)
• Topics: discord-bot, kaggle, linear-svc, meme-generator, tfidf-vectorizer
• Language: Jupyter Notebook
• Homepage:
• Size: 3.32 MB
• Stars: 4
• Watchers: 2
• Forks: 1
• Open Issues: 8
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Text2Meme 🖼️ 

Text2Meme is a Meme Classification Experiment based on Caption Text (Implemented as a Discord Bot)

![](assets/docs/Preview.PNG)

## About This

I made a meme classification model based on the memes caption text. I implemented this into a discord bot to let people openly use it and expand the training sets. Currently, the model is not learning automattically. That'll be for future works.

## Dataset

[ImgFlip-Scraped Memes Caption Dataset](https://www.kaggle.com/abhishtagatya/imgflipscraped-memes-caption-dataset)

You can freely use the dataset provided in Kaggle. It might not be regularly maintaned, but I also provide a script in `dataset/` that scrapes ImgFlip for more data.

## Try It Out!

[![Discord Bots](https://top.gg/api/widget/691313752037130312.svg)](https://top.gg/bot/691313752037130312)

You can try the bot in your discord server. Although it might not have a 100% uptime.

### Running Discord

Linux :

You can run the bot yourself. Simply clone this repository, then enter the following command:

```sh

$ cd text2meme

$ chmod +x deploy.sh

$ ./deploy.sh

```

Windows or Mac :

You also can run the script in Windows or Mac. Simpy just build and start the Dockerfile.

## Author

- Abhishta Gatya

  Feel free to contribute anything, this project is open.