O

openai

🤖 AI browser extensions & userscripts to augment your web experience

🐵 Greasemonkey userscripts

🤖 A starting point for developing your own Chrome extension using chatgpt.js (including pop-up menu + settings management)

🤖 A powerful, open source client-side JavaScript library for ChatGPT

🖥️ Award-winning extension to enhance ChatGPT with wide/full/tall-screen + spamblock modes. Also works on poe.com!

⏩ Automatically continue generating answers when ChatGPT responses get cut-off

∞ Generate endless answers from all-knowing ChatGPT (on any topic!)

🤖 AI chat & search summaries in Google Search, powered by the latest LLMs

🐤 AI chat & search summaries in DuckDuckGo, powered by the latest LLMs

🦁 AI chat & search summaries in Brave Search, powered by the latest LLMs

🛒 AI chat & product/category summaries in Amazon shopping, powered by the latest LLMs

📣 Auto-plays ChatGPT responses

🕶️ Adds chat auto-clear functionality to ChatGPT for more privacy

↻ Keeps ChatGPT sessions fresh, eliminating chat time limits + network errors + Cloudflare checks

💬 Epic prompts to turbo-charge your LLM chatbots.

Lost access to an old ChatGPT account? Re-import exported chats (incl. Projects) into a new account via Patchright UI automation. Not affiliated with OpenAI.

🙈 A starting point for developing your own Greasemonkey userscript using chatgpt.js

Wally is a GitLab assistant powered by AI language models (OpenAI, Anthropic, or Ollama). With Wally, you can interact with your GitLab project using natural language and receive helpful suggestions and feedback from the AI.

Advanced Conversational Core (ACC) — A multimodal AI framework featuring 5D emotional simulation, semantic RAG memory, cognitive monologue stream, and multi-modal I/O (text, voice, image).

Данный проект - одно из моих тестовых заданий. Суть проекта: обработка информации с помощью ChatGpt и дальнейшая работа с результатом. Скрипт написан на python с использованием библиотек: pandas, request, os.

Кратко принцип работы:

1)Загружаем данные из CSV файла в Python с помощью Pandas.

2)Обрабатываем данные в форму, необходимую для отправки запроса в ChatGpt

3)Через OpenAI API и библиотеки requests отправляем запрос в ChatGpt и получаем ответ.

4)Обрабатываем ответ в Python и с помощью библиотеки Pandas сохраняем новый файл с обработанными данными в ту же директорию.

Мой контакт Telegram - @Jenyahard