---
license: apache-2.0
title: GPT3-Dataset-Generator
sdk: streamlit
emoji: 📊
colorFrom: pink
colorTo: gray
pinned: true
---
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# 🤖 GPT3 Dataset Generator

## About the app

[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://gpt3-dataset-generator.streamlit.app/)

This app generates datasets using GPT3. It was developped by [Charly Wargnier](https://twitter.com/DataChaz) and [Tony Kipkemboi](https://twitter.com/_townee), as part of the ❄️ [Snowflake](https://www.snowflake.com/en/) Snowvation Hackathon.

<div style="display:flex;">
  <img src="https://user-images.githubusercontent.com/27242399/208650139-8f6bd9bc-bf38-4a6e-886c-a2d93a350335.png" height="250">
  <img src="https://user-images.githubusercontent.com/27242399/208647034-47fdbb66-29eb-4e6a-a6a3-311650d2cfc1.png" height="250">
    <img src="https://user-images.githubusercontent.com/27242399/208649050-55c9d615-95a1-44c2-8262-87423c2e62ae.png" height="250">

</div>

## What is GPT-3?

[GPT-3](https://en.wikipedia.org/wiki/GPT-3) is a large language generation model developed by [OpenAI](https://openai.com/) that can generate human-like text. It has a capacity of 175 billion parameters and is trained on a vast dataset of internet text. It can be used for tasks such as language translation, chatbot language generation, and content generation etc.

## 🎈 What is Streamlit?

[Streamlit](https://streamlit.io) is an open-source Python library that allows users to create interactive, web-based data visualization and machine learning applications without the need for extensive web development knowledge.

## 📖 Resources

- OpenAI
  - [OpenAI Playground](https://beta.openai.com/playground)
  - [OpenAI Documentation](https://beta.openai.com/docs)    
- Streamlit
  - [Documentation](https://docs.streamlit.io/)
  - [Gallery](https://streamlit.io/gallery)
  - [Cheat sheet](https://docs.streamlit.io/library/cheatsheet)
  - [Book](https://www.amazon.com/dp/180056550X) (Getting Started with Streamlit for Data Science)
  - Deploy your apps using [Streamlit Community Cloud](https://streamlit.io/cloud) in just a few clicks
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