YouTubeChapterGenerator is a tool designed to automate the creation of YouTube chapter markers from video transcripts. It utilizes various Python scripts to clarify, concatenate, and convert transcripts, leveraging OpenAI's GPT-3 for text processing.
This script clarifies YouTube video transcripts using OpenAI's GPT-3 API. It reads transcripts, sends them to GPT-3 for clarification, and saves the processed transcripts.
Concatenates individual transcript files into a single output file for ease of processing. It adds markers to distinguish between different videos in the output.
Converts transcript files into a specific format suitable for speech recognition or further processing. This script reads each transcript, processes it using a chatbot function powered by GPT-3, and saves the output in a new format.
- Ensure you have Python installed.
- Install required dependencies:
pip install -r requirements.txt(if a requirements file exists). - Run each script as needed:
python clarify_transcripts.pyfor transcript clarification.python concatenate files.pyfor concatenating transcripts.python convert_transcript_to_spr.pyfor converting transcripts.
Contributions are welcome. Please open an issue or submit a pull request for any enhancements.
This project is licensed under the MIT License.
For any queries or assistance, please open an issue in this repository.