https://github.com/alexfazio/viral-clips-crew
Your CrewAI Powered Video Editing Assistant
https://github.com/alexfazio/viral-clips-crew
crewai ffmpeg whisper yt-dlp
Last synced: 2 months ago
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Your CrewAI Powered Video Editing Assistant
- Host: GitHub
- URL: https://github.com/alexfazio/viral-clips-crew
- Owner: alexfazio
- License: mit
- Created: 2024-05-18T09:36:18.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-09-27T13:48:50.000Z (9 months ago)
- Last Synced: 2025-04-10T01:16:02.893Z (2 months ago)
- Topics: crewai, ffmpeg, whisper, yt-dlp
- Language: Python
- Homepage: http://orgent.ai
- Size: 89 MB
- Stars: 460
- Watchers: 9
- Forks: 76
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
Your [CrewAI](https://github.com/joaomdmoura/crewAI) Powered Video Editing Assistant
Are you a social media content curator? Skip the tedious editing process and get polished video highlights in minutes. `viral-clips-crew` watches and listens to long-form content, extracting the most striking and potentially viral segments, ready for publication on social media.
## Content Repurposing Made Easy
`viral-clips-crew` helps you repackage your valuable content in new and engaging ways to capture attention on social media and drive traffic back to the original long-form piece. Whether you're looking to refresh your own content or recycle content from other creators, this tool streamlines the process, making content repurposing effortless and efficient.
## Requirements
This project requires:
- Python 3.7+
- CrewAI
- OpenAI API key and Google Gemini API key
All required Python libraries are listed in `pyproject.toml`.
## Installation
1. Clone this repository to your local machine:
```shell
git clone https://github.com/alexfazio/viral-clips-crew.git
```
2. Install Poetry to automatically manage project dependencies:
```shell
pip install poetry
```
3. Install the required Python packages using Poetry:
```shell
poetry install
```
4. Update Pydantic:
```shell
poetry update pydantic
```
5. Open `.env` and insert your OpenAI API key and Google Gemini API key.
```shell
echo -e "OPENAI_API_KEY=\nGEMINI_API_KEY=" > .env
```
## Usage
After setting up, drag your desired clip into the `input_files` directory.
**Gemini can process videos up to 1 hour in length. If you are using the OpenAI API, please ensure that the clip is less than 15 minutes in length. The current LLM context windows are approximately 15 minutes.**
Run `viral-clips-crew` using Poetry with the following command:
```shell
poetry run python app.py
```
This will kickstart the process from beginning to completion.
Final output will be in the `subtitler_output` directory.
## Support
If you like this project and want to support it, please consider leaving a star. Every contribution helps keep the project running. Thank you!
## Troubleshooting
If you encounter a `TypeError: 'NoneType' object is not iterable`, please check the following:
- Ensure your API keys are correctly set in the `.env` file.
- Verify that you have enough pay-as-you-go credits in your OpenAI account and Google Cloud account.
## Note
The code for `viral-clips-crew` is intended for demonstrative purposes and is not meant for production use. The API keys are hardcoded and need to be replaced with your own. Always ensure your keys are kept secure.
## Credits
Thank you to [Rip&Tear](https://x.com/Cyb3rCh1ck3n) for his ongoing assistance in improving this tool.
## License
[MIT](https://opensource.org/licenses/MIT)
Copyright (c) 2024-present, Alex Fazio
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[](https://x.com/alxfazio/status/1791863931931078719)