tiktoken is a fast BPE tokeniser for use with OpenAI's models. import tiktoken enc = tiktoken . get_encoding ( "o200k_base" ) assert enc . decode ( enc . encode ( "hello world" )) == "hello world" # To get the tokeniser corresponding to a specific model in the OpenAI API: enc = tiktoken . encoding_for_model ( "gpt-4o" )

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

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.

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.

tiktoken is a fast BPE tokeniser for use with OpenAI's models. import tiktoken enc = tiktoken . get_encoding ( "o200k_base" ) assert enc . decode ( enc . encode ( "hello world" )) == "hello world" # To get the tokeniser corresponding to a specific model in the OpenAI API: enc = tiktoken . encoding_for_model ( "gpt-4o" )

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.

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! Resources

To use this action, you need to have an Azure account with OpenAI services set up. The action requires several inputs to function: api_url: The endpoint URL of Azure OpenAI Service. deployment_id: The deployment ID of Azure OpenAI Service. api_key: The API key to run Azure OpenAI Service.