PEPE-Sematics

PEPE-Sematics is the productionized version of the PEPE-Model by Xingyao Wang and David Jurgens. While the original authors have created a slack extension. Our aim is to create a web app where chats inputted produce a suitable reply to the lastest chat message. This means the semantics of text are understood and then several appropriate meme/gif is presented for the user to choose from.

Getting Started

To make it easy to get started, a list of recommended next steps.

Setup

Standard Workflow:-

git clone https://github.com/Nikhil-Mudgal/PEPE-Semantics.git

Commiting Pradigm

git branch <branch_name>
git add <files_to_add>
git commit "Something_desciptive_yet_compact"
git push 

If the request passes tests it gets pushed into the repo.

Explanation of the Project

To do..

Models

Inference example

• Local: run notebooks/retrieve_gifs.ipynb
• Colab (same as local, just with git clone): link

Contributors

Reach out to us at:-

• [Brendon]
• Job
• Nikhil-Mudgal -- nmudgal1106@gmail.com
• Renat