Video Generation Project

This project allows you to create short videos based on a given topic. Version 2 (improve transform image and real clip) can be found at: Colab notebook. The reason why version 2 is in this GitHub is that my laptop cannot afford the Nvidia-smi utility, which is required to install xformers for stable diffusion.

Requirements

Python packages:

• openai: For interacting with the OpenAI API to generate text.
• python-dotenv: For loading environment variables from a .env file.
• moviepy: For video editing and manipulation.
• pydub: For audio manipulation.

Brew packages:

• ffmpeg: For encoding and decoding video and audio.
• ghostscript: For converting PDF files to images.
• imagemagick: For image manipulation.

Project Structure

├── img
│   └──
├── result
│   └──
├── root
│   └──
├── script
│   └──
├── video
│   └──
├── .DS_Store
├── .gitignore
├── README.md
├── main.py
├── output_subtitle.srt
├── requirements.txt
└── secrets.py

Usage

1. Install dependencies:

   pip install -r requirements.txt
   brew install ffmpeg ghostscript imagemagick

2. Create a .env file and set the following environment variables:

   OPENAI_API_KEY=your_openai_api_key
   

3. Run the script:

   python main.py

4. Enter the topic for your video.

5. The script will generate a video file in the video folder.

Notes

• Make sure you have a valid OpenAI API key.
• The video generation process may take some time depending on the length of the video and the complexity of the topic.
• You can customize the video output by modifying the script.

Contributing

Contributions are welcome! Feel free to open an issue or submit a pull request.