tiktoken is a fast BPE tokeniser for use with OpenAI's models. - openai/tiktoken

tiktoken is a fast BPE tokeniser for use with OpenAI's models. - tiktoken/tiktoken/model.py at main · openai/tiktoken

OpenAI TTS for generating lifelike audio responses. Dynamic video assembly with MoviePy, including countdowns, questions, and answers. Integration of a unique visual element – a colored stripe highlighting the correct answer. Video upload to TikTok using the TikTok uploader library (forked version).

This library embeds OpenAI's vocabularies—which are not small (~4Mb)— as go maps. This is different than what the way python version of tiktoken works, which downloads the dictionaries and puts them in a cache folder.

Discover Whisper-TikTok, an innovative AI-powered tool that leverages the prowess of Edge TTS, OpenAI-Whisper, and FFMPEG to craft captivating TikTok videos.

The tiktok-whisper tool allows batch conversion of videos to text using either OpenAI's cloud-based Whisper API or local coreML's Whisper.cpp. It includes features such as exporting copies to Excel, saving conversion results to SQLite or PostgreSQL, video duration statistics, and keyword search to locate videos.

The tokeniser API is documented in tiktoken/core.py. Example code using tiktoken can be found in the OpenAI Cookbook.

A React application that integrates with TikTok live sessions, allowing viewers to interact with an AI chatbot during the live stream. The chatbot responds to comments using OpenAI's ChatGPT and Text-to-Speech API.

This action enables you to call the Azure OpenAI Service Chat Completions API within your GitHub Actions workflow.

Automated tiktok commenter that generates and posts realistic comments based off of the content using the openai api. This bot can boost profile engagement and likes!