This project utilizes Python's YouTubeTranscriptApi to fetch transcripts for YouTube videos and then processes them with a Local Language Model (LLM) to format the text into well-structured and readable sentences.

Before you begin, ensure you have met the following requirements:

• Python 3.x installed on your system.
• Access to a Local Language Model executable and model binary file.
• The YouTubeTranscriptApi Python package installed.

Clone the repository to your local machine:

git clone https://your-repository-url.git
cd your-repository-directory

Clone the repository to your local machine:

git clone https://your-repository-url.git
cd your-repository-directory

Install the required Python packages:

pip install -r requirements.txt

The script can be run with the following command:

python3 transcript_formatter.py

Make sure to update the paths in the invoke_llama function to point to your Local Language Model executable and model binary file.

The invoke_llama function takes two arguments:

input_file: The path to the file containing the raw transcript text. output_file: The path where the formatted transcript text will be saved. These files are currently set to 'raw_transcript.txt' and 'clean_transcript.txt', respectively, and can be changed as per your requirements.

Contributions to this project are welcome. To contribute:

• Fork the project.
• Create a new branch (git checkout -b feature/YourFeature).
• Make your changes.
• Commit your changes (git commit -am 'Add some feature').
• Push to the branch (git push origin feature/YourFeature).
• Open a pull request.

GPL-3.0

If you want to contact me you can reach me at [email protected].

Thank you to the authors of the YouTubeTranscriptApi and the Local Language Model for making their tools available for public use.