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AI-Youtube-Shorts-Generator
A python tool that uses GPT-4, FFmpeg, and OpenCV to automatically analyze videos, extract the most interesting sections, and crop them for an improved viewing experience.
Stars: 366
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AI Youtube Shorts Generator is a Python tool that utilizes GPT-4 and Whisper to generate engaging YouTube shorts from long-form videos. It downloads videos, transcribes them, extracts highlights, detects speakers, and crops content vertically for shorts. The tool requires Python 3.7 or higher, FFmpeg, and OpenCV. Users can contribute to the project under the MIT License.
README:
AI Youtube Shorts Generator is a Python tool designed to generate engaging YouTube shorts from long-form videos. By leveraging the power of GPT-4 and Whisper, it extracts the most interesting highlights, detects speakers, and crops the content vertically for shorts. This tool is currently in version 0.1 and might have some bugs.
Youtube tutorial -> https://youtu.be/dKMueTMW1Nw
Medium tutorial -> https://medium.com/@anilmatcha/ai-youtube-shorts-generator-in-python-a-complete-tutorial-c3df6523b362
- Video Download: Given a YouTube URL, the tool downloads the video.
- Transcription: Uses Whisper to transcribe the video.
- Highlight Extraction: Utilizes OpenAI's GPT-4 to identify the most engaging parts of the video.
- Speaker Detection: Detects speakers in the video.
- Vertical Cropping: Crops the highlighted sections vertically, making them perfect for shorts.
- Python 3.7 or higher
- FFmpeg
- OpenCV
-
Clone the repository:
git clone https://github.com/SamurAIGPT/AI-Youtube-Shorts-Generator.git cd AI-Youtube-Shorts-Generator
-
Install the required Python packages:
pip install -r requirements.txt
-
Set up the environment variables. Create a
.env
file in the project root directory and add your OpenAI API key:OPENAI_API=your_openai_api_key_here
- Ensure your
.env
file is correctly set up with your OpenAI API key. - Run the main script and enter the desired YouTube URL when prompted:
python main.py
Contributions are welcome! Please fork the repository and submit a pull request.
This project is licensed under the MIT License.
This is a v0.1 release and might have some bugs. Please report any issues on the GitHub Repository.
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