Agently-Daily-News-Collector: A Comprehensive Introduction
Agently-Daily-News-Collector is an open-source project designed to facilitate the automated collection of news on virtually any topic. This innovative tool utilizes the Agently AI application development framework, making it an excellent showcase of how AI can simplify and streamline the news-gathering process.
Project Overview
The Agently Daily News Collector leverages state-of-the-art AI technology to gather high-quality news articles and compile them into a single markdown file. Users simply need to specify the topic they are interested in, and the AI agents take care of the rest—scouring the internet for the latest news, processing the information, and organizing it in an easily readable format.
How It Works
The process of using the Agently-Daily-News-Collector involves a few straightforward steps:
Step 1: Clone the Repository
First, users must clone the repository to their local environment. This can be done using the command line with the following command:
git clone [email protected]:AgentEra/Agently-Daily-News-Collector.git
Step 2: Configure Settings
Once the repository is cloned, users need to edit the SETTINGS.yaml file found in the project directory. This includes inputting the API key for the model they wish to use and adjusting other settings to suit their preferences. The settings guide provides more details on how to configure the project if other models are to be used.
Step 3: Install Dependencies and Start the Application
Before starting the application, it is essential to have Python installed on the system. The necessary dependency packages can be installed using:
pip install -r path/to/project/requirements.txt
After the dependencies are installed, the news collection process can be initiated using:
python path/to/project/app.py
Users will be prompted to input the topic for their news compilation. Once the topic is entered, the AI begins its process of gathering, processing, and compiling the news.
Monitoring the Process
Throughout the execution, the system logs various actions and provides updates on its progress. These logs include information such as the generation of the news outline, the number of articles found, and summaries of selected news pieces. This comprehensive logging helps users understand what the AI is doing behind the scenes.
Completion and Output
Once the process is complete, the system generates a message confirming the creation of the markdown file. Users can find this file in the project directory, named after the topic and date of generation.
Dependencies
The project relies on several key dependencies to function effectively, including:
- Agently AI Development Framework: A robust framework for developing AI applications.
- duckduckgo-search: A library to perform web searches for gathering information.
- BeautifulSoup4: Used for parsing HTML content.
- PyYAML: Utilized for reading and writing YAML files which are essential for configuration.
Getting Involved and Support
For users who like the project, it’s encouraged to provide a star on the project's GitHub page to show support. Additionally, there are various channels available for reporting bugs, proposing ideas, or seeking support:
- GitHub Issues for reporting bugs
- Contact via email: [email protected]
- Join the discussion on Discord
With Agently-Daily-News-Collector, collecting the latest news on any topic has never been easier or more efficient, showcasing the powerful capabilities of AI-driven workflow automation.