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https://github.com/umerrali/youtube-summarizer
Get summary of youtube videos with AI
https://github.com/umerrali/youtube-summarizer
gpt openai summarizer youtube-video-summary
Last synced: about 2 months ago
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Get summary of youtube videos with AI
- Host: GitHub
- URL: https://github.com/umerrali/youtube-summarizer
- Owner: UmerrAli
- License: mit
- Created: 2023-12-24T16:33:20.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-09-07T10:53:31.000Z (4 months ago)
- Last Synced: 2024-09-07T12:01:33.531Z (4 months ago)
- Topics: gpt, openai, summarizer, youtube-video-summary
- Language: JavaScript
- Homepage: https://summarizeyoutube.netlify.app/
- Size: 62.5 KB
- Stars: 5
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# YouTube Videos Summarizer using OpenAI API
This project utilizes the power of GPT-3.5 to generate concise and informative summaries for YouTube videos. This repository contain both frontend(HTML/CSS/JS) and backend(Flask).
## Demo
Visit this link for live demo: https://summarizeyoutube.netlify.app/
### Video Demo
https://github.com/UmerrAli/YouTube-Summarizer/assets/106273026/170f3bb1-6762-4430-b8c9-8e90f3c7b7fe
## Frontend
For the frontend of YouTube Video Summarizer, you'll need Node.js and npm (Node Package Manager) which is included with Node.js. Here is how you can install these prerequisites:
- Download and install Node.js from https://nodejs.org/.
- Verify the installation by running the following commands in your terminal or command prompt:
```bash
node -v
npm -v
```
### Run Locally
Parcel is used as the bundler for the project.
1. Clone the project:
```bash
git clone https://github.com/UmerrAli/YouTube-Summarizer
```
2. Install dependencies using npm:
```bash
npm install
```
3. To start a development server
```bash
npm start
```
This will start the development server at http://localhost:1234. Open this URL in your browser to view the application.
http://localhost:1234/
## Backend
- Make sure Python is installed on your machine. You can download it from https://www.python.org/.
- Verify the installation by running the following command in your terminal or command prompt:
```bash
python3 --version
```
Create a virtual environment
```bash
python3 -m venv venv
# On Windows
venv\Scripts\activate
# On macOS/Linux
source venv/bin/activate
```
Install dependencies
```bash
pip install -r requirements.txt
```
### Set up OpenAI API Key
Open the config.py file and add your OpenAI API key. If you don't have an API key, you can obtain one from the OpenAI platform.
```python
API_KEY = 'YOUR_API_KEY'
```
After setting up the environment and adding the API key, you can run the Flask application:
```
flask run
```
The backend server will be running at http://127.0.0.1:5000/. Make sure the backend is running before testing the frontend.