Welcome to the rag-news-summarizer! This application fetches news from RSS feeds and creates AI-powered summaries. It uses advanced technology to index your news articles, making it easy to find and read. Donโt worry if youโre not a tech expert. This guide will help you get everything set up.
To start using the rag-news-summarizer, you need to download it first. Please visit the Releases page to download the latest version.
Once on the page, you will see a list of available downloads. Choose the version suitable for your system and click on it to begin the download.
Before installing, ensure your computer meets the following requirements:
After downloading the application, follow these steps to install it:
Locate the Downloaded File: Go to your Downloads folder and find the file you just downloaded. It should look something like rag-news-summarizer-v1.0.exe (or similar for other systems).
Run the Installer: Double-click the file. For Windows, follow the installation wizard on your screen. For macOS and Linux, drag the app into your Applications folder as prompted.
Complete the Installation: Follow any additional on-screen instructions until the installation is finished.
Open the Application: You will find the rag-news-summarizer in your applications list or on your desktop.
Now that you have installed rag-news-summarizer, letโs set it up.
Launch the Application: Double-click the app icon to open it.
Configure RSS Feeds: When you open the app for the first time, you will see a settings menu. Here, you can enter any RSS feed URLs of news sources you prefer.
Index Your News: After entering your feeds, click on the โFetch Newsโ button. The app will start to index articles from the provided feeds. This may take some time depending on the number of feeds you entered.
Generate Summaries: Once indexing is complete, use the โSummarizeโ button to create summaries of the fetched articles. The summaries will appear on your screen, ready for you to read.
If you run into any issues, here are some common problems and solutions:
This application leverages several technologies such as ChromaDB for storing indexed data, and Streamlit for a smooth user experience. The design allows for learning and experimentation in the fields of news summarization and processing.
Feel free to provide feedback or report any issues on the GitHub repository.
To download the application, please revisit the Releases page.