This repository demonstrates a method for generating HTML blog posts from video transcripts using Claude 3 Opus. It targets users interested in automated content creation from video, offering a way to transform raw transcripts and screencaps into structured, visually appealing blog content suitable for educational or informational purposes.

How It Works

The project leverages a large language model (LLM), specifically Claude 3 Opus, to process video transcripts and associated timestamps. It employs a structured prompting technique that guides the LLM to convert noisy, AI-generated transcripts into well-formatted HTML blog posts. The process involves chunking the transcript, incorporating relevant screencaps as images with captions, and applying specific stylistic and structural guidelines to mimic a desired blog aesthetic.

Quick Start & Requirements

• Primary install / run command: Not explicitly provided in the README. The project appears to be a demonstration of a process rather than a runnable application.
• Prerequisites: Access to Claude 3 Opus API, video files, and potentially a framework for processing video frames and transcripts.
• Links: The README mentions a link to the resulting model-generated course, but it is not provided.

Highlighted Details

• Utilizes Claude 3 Opus for advanced text transformation and content generation.
• Employs a detailed prompt engineering approach to control output format, style, and image inclusion.
• Focuses on creating textbook-quality HTML output from video content.
• Aims to automate the creation of structured blog posts with relevant imagery.

Maintenance & Community

• The repository is associated with "hundredblocks" and appears to be a personal project or demonstration rather than a community-driven effort. No specific community links or maintenance details are provided.

Licensing & Compatibility

• The README does not specify a license.

Limitations & Caveats

The project is presented as a "demo" and an "attempt," suggesting it may be experimental. It relies heavily on the Claude 3 Opus API, which may incur costs and requires API access. The process of extracting relevant screencaps and ensuring their quality is not detailed, and the effectiveness of the automated formatting may vary depending on the input video and transcript quality.