Video Titler

Overview

The Video Titler is a tool that automatically generates concise titles for video files in a specified directory. It uses the WhisperX model to transcribe audio from videos and an OpenAI API to generate titles based on the transcriptions.

Features

• Extracts audio from video files.
• Transcribes audio using WhisperX.
• Generates concise video titles using OpenAI's API.
• Renames video files with the generated titles.

Requirements

• Python 3.10
• Conda environment with PyTorch 2.0 and CUDA 11.8 (for GPU support)
• WhisperX library
• OpenAI API key

Setup

1. Clone the repository:

   git clone https://github.com/your-repo/Video-Titler.git
   cd Video-Titler

2. Run the setup script to create and activate the conda environment:

   ./setup.sh

3. Set your OpenAI API key in the .env file:

   cp .env.example .env
   nano .env

   Replace ADD-YOUR-API-KEY with your actual OpenAI API key.

Usage

Run the script with the -d flag followed by the directory containing your video files:

python titler.py -d /path/to/video/directory

Directory Structure

• titler.py: Main script for processing video files.
• vhisperx: Bash script for extracting audio and running WhisperX.
• setup.sh: Script for setting up the conda environment and installing dependencies.
• requirements.txt: List of Python dependencies.
• .env.example: Example environment file.
• .gitignore: List of files to ignore in version control.

License

This project is licensed under the MIT License - see the LICENSE file for details.