This project enables users to train a chatbot on the content of an entire YouTube channel, leveraging OpenAI and Pinecone for conversational AI. It's designed for content creators and developers looking to create engaging, AI-powered assistants that can answer questions and interact with audiences in the style of a specific YouTube channel.

How It Works

The project utilizes a Python notebook that integrates YouTube's API for data extraction, OpenAI for language processing, Langchain for orchestrating the AI workflow, and Pinecone for vector database storage. The core process involves extracting video transcripts and metadata from a specified YouTube channel, processing this data into a format suitable for AI training, and then using these embeddings to build a conversational model. This approach allows the chatbot to learn and mimic the knowledge and tone of the YouTube channel's content.

Quick Start & Requirements

• Install/Run: Run the provided Google Colab notebook.
• Prerequisites:
  • API keys for OpenAI, YouTube Data API v3, and Pinecone.
  • YouTube Channel ID.
• Setup: Requires obtaining and configuring API keys.

Highlighted Details

• Enables creation of AI assistants that mimic YouTube channel content and tone.
• Facilitates interactive audience engagement and automated Q&A for creators.
• Leverages a combination of YouTube API, OpenAI, Langchain, and Pinecone.

Maintenance & Community

The project is initiated by @ehalm_ on Twitter, who welcomes contributions and inquiries for custom models.

Licensing & Compatibility

The repository does not explicitly state a license in the provided README. Users should verify licensing for commercial use or integration with closed-source projects.

Limitations & Caveats

The project relies on external API keys, which may incur costs. The effectiveness of the chatbot is dependent on the quality and quantity of content available on the target YouTube channel.