Creating Own Chat GPT

• fosterflow

  1 15 9.8 JavaScript

  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

  48 12,204 7.2 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.

• SurveyJS

  surveyjs.io sponsored

  Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

  

• react-syntax-highlighter

  14 3,854 1.2 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

  1,314 59,531 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

  197 27,489 8.7 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

  199 14,902 8.8 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

  42 22,501 4.0 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 sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• redux

  268 60,454 9.0 TypeScript

  A JS library for predictable global state management

  

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

  1,694 221,803 9.9 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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