https://github.com/balewgize/skimmit
Article and YouTube video summary from URL
https://github.com/balewgize/skimmit
gemini-pro generative-ai gpt-4 large-language-models python text-summarization video-summarization youtube-summary
Last synced: 6 months ago
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Article and YouTube video summary from URL
- Host: GitHub
- URL: https://github.com/balewgize/skimmit
- Owner: balewgize
- License: mit
- Created: 2023-12-13T13:47:20.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-05-15T05:39:55.000Z (over 1 year ago)
- Last Synced: 2024-05-15T21:34:34.001Z (over 1 year ago)
- Topics: gemini-pro, generative-ai, gpt-4, large-language-models, python, text-summarization, video-summarization, youtube-summary
- Language: Python
- Homepage: https://balewgize.app/
- Size: 946 KB
- Stars: 10
- Watchers: 2
- Forks: 5
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
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README
Skimmit is now available on *GPT Store*
## About The Project
The main goal of this project is to make content consumption effective. How?
- Quickly get the main idea of any article or video.
- See a short preview to asses if it's worth your time.
- Spend less time consuming, and more time doing.
### Why Skimmit?
I believe content is being consumed more than ever. So it's important to be selective and make the most of it.
If you want to give a try, check out the web version at https://balewgize.app/
### Built With
* Python
* Flask
* LLM (GPT-4 & Gemini Pro)
## Getting Started
To get a local copy up and running follow these example steps.
### Prerequisites
* Python installed
* Gemini Pro API key
### Installation
1. Clone the repo and navigate to ```skimmit``` directory
```
git clone https://github.com/balewgize/skimmit.git
```
2. Install required packages (virtual environments recommended)
```
python3 -m venv venv && source venv/bin/activate
```
```
pip install -r requirements.txt
```
3. Provide Gemini API key in `.env` file
```
GOOGLE_API_KEY=your-google-gemini-api-key
```
4. Start the server.
```
flask run
```
5. Goto http://127.0.0.1:5000 on your browser
Thanks for checking!