Creating Own Chat GPT

• fosterflow

  1 12 10.0 SCSS

  Chat interface for most capable AI models

  

  In June, OpenAI announced that third-party applications’ APIs can be passed into the GPT model, opening up a wide range of possibilities for creating specialized agents. Our team decided to write our own chat for working with GPT4 from OpenAI and other ML/LLM models with the ability to customize for the company’s internal needs. The project is open source, and can be downloaded via the link. It is currently in active development, so we would be glad to see your comments / wishes in the comments. Also, send us your pull requests with corrections.

• react-markdown

  10 11,500 6.7 JavaScript

  Markdown component for React

  

  The OpenAI API returns responses in Markdown format. To display responses from the chat, which contain formatting, I used the ReactMarkdown component. For code inserts, I used React Syntax Highlighter.

• Appwrite

  appwrite.io

  sponsored

  Appwrite - The open-source backend cloud platform. Add Auth, Databases, Functions, and Storage to your product and build any application at any scale while using your preferred coding languages and tools.

  

• react-syntax-highlighter

  2 3,639 0.0 JavaScript

  syntax highlighting component for react with prismjs or highlightjs ast using inline styles

  

  The OpenAI API returns responses in Markdown format. To display responses from the chat, which contain formatting, I used the ReactMarkdown component. For code inserts, I used React Syntax Highlighter.

• CPython

  280 57,010 10.0 Python

  The Python programming language

  

  For the backend, we chose Python, Django Rest Framework. On the frontend, React, Redux, Saga, Sass. Let’s start with the backend, which was managed by Yegor. He writes about the server part of the project himself.

• django-rest-framework

  34 26,691 8.5 Python

  Web APIs for Django. 🎸

  

  For the backend, we chose Python, Django Rest Framework. On the frontend, React, Redux, Saga, Sass. Let’s start with the backend, which was managed by Yegor. He writes about the server part of the project himself.

• Sass

  34 14,752 0.0 TypeScript

  Sass makes CSS fun!

  

  For the backend, we chose Python, Django Rest Framework. On the frontend, React, Redux, Saga, Sass. Let’s start with the backend, which was managed by Yegor. He writes about the server part of the project himself.

• redux-saga

  5 22,496 6.0 JavaScript

  An alternative side effect model for Redux apps

  

  For the backend, we chose Python, Django Rest Framework. On the frontend, React, Redux, Saga, Sass. Let’s start with the backend, which was managed by Yegor. He writes about the server part of the project himself.

• InfluxDB

  www.influxdata.com

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• redux

  41 60,081 8.5 TypeScript

  Predictable state container for JavaScript apps

  

  For the backend, we chose Python, Django Rest Framework. On the frontend, React, Redux, Saga, Sass. Let’s start with the backend, which was managed by Yegor. He writes about the server part of the project himself.

• React

  387 215,789 9.6 JavaScript

  The library for web and native user interfaces.

  

  For the backend, we chose Python, Django Rest Framework. On the frontend, React, Redux, Saga, Sass. Let’s start with the backend, which was managed by Yegor. He writes about the server part of the project himself.

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