Ollama Feed Summarizer

Ollama Feed Summarizer is a Python application that loops through multiple RSS feeds, summarizing articles using a model running locally using Ollama, and stores the summaries in a daily summary file for easy reading.

Check out Feed Summarizer for a more powerful version that uses Claude for summarization, and a GitHub repository for storage.

Features

• Fetches articles from multiple RSS feeds
• Summarizes articles using AI (Ollama)
• Compiles summaries into a single markdown file
• Handles unavailable feeds and updates the feed list
• Configurable via JSON file
• Outputs summaries with a date-stamped heading

Requirements

• Python 3.7+
• Ollama installed and running locally

Installation

1. Clone this repository:

   git clone https://github.com/rb81/ollama-feed-summarizer.git
   cd ollama-feed-summarizer
   

2. Install the required Python packages:

   pip install -r requirements.txt
   

3. Create a config.json file in the project directory with the following structure:

   {
       "feeds_file": "feeds.txt",
       "removed_feeds_file": "removed_feeds.txt",
       "output_folder": "/path/to/your/output/folder",
       "num_articles": 5,
       "ollama_model": "llama3:8b",
       "ollama_ip": "localhost",
       "ollama_port": "11434"
   }

4. Create a feeds.txt file with one RSS feed URL per line.

Usage

Run the script with:

python main.py

The script will:

1. Read RSS feeds from feeds.txt
2. Fetch and summarize the specified number of articles from each feed
3. Compile summaries into a markdown file in the specified output folder
4. Update feeds.txt and removed_feeds.txt if any feeds are unavailable or do not contain any content

Output

The script generates a markdown file named YYYY-MM-DD_feed-summaries.md in the specified output folder. The file contains:

• A heading with the current date (e.g., "News for Tuesday, January 1, 2024")
• Summaries of articles from the processed feeds

Configuration

Adjust the config.json file to change:

• Input and output file locations
• Number of articles to summarize per feed
• Ollama model and connection details

License

This project is licensed under the MIT License - see the LICENSE file for details.

Transparency Disclaimer

ai.collaboratedwith.me in creating this project.