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https://github.com/manishraj27/ml-news-app-frontend
https://github.com/manishraj27/ml-news-app-frontend
Last synced: 10 days ago
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- Host: GitHub
- URL: https://github.com/manishraj27/ml-news-app-frontend
- Owner: manishraj27
- License: mit
- Created: 2024-06-06T14:06:41.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-06-06T18:22:46.000Z (5 months ago)
- Last Synced: 2024-06-07T15:58:12.947Z (5 months ago)
- Language: JavaScript
- Size: 209 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
**ML News App Frontend**
=========================
**Introduction**
This repository contains the frontend code for the ML News App, a web application that displays summarized news articles fetched from the ML News App API. The app utilizes React for building the user interface and fetching data from the backend API.
**Features**
- Displays summarized news articles fetched from the ML News App API
- Allows users to search for news articles based on keywords or topics
- Provides a clean and intuitive user interface for browsing news content
**Deployment**
The frontend for the ML News App is deployed and can be accessed at [https://onetoucnews-ml.netlify.app/](https://onetoucnews-ml.netlify.app/).
**Usage**
To run the frontend code locally, follow these steps:
1. Clone the repository:
```bash
git clone https://github.com/manishraj27/ml-news-app-frontend.git
```
2. Navigate to the project directory:
```
cd ml-news-app-frontend
```
3. Install dependencies:
```
npm install
```
4. Start the development server:
```
npm start
```
Open your browser and visit http://localhost:3000 to view the app.
**Contributing**
Contributions to this project are welcome! If you have suggestions for improvements, open an issue or submit a pull request.
**License**
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
**Note**
This frontend code complements the ML News App API, providing a seamless user experience for accessing and interacting with summarized news articles.