title	emoji	colorFrom	colorTo	sdk	sdk_version	app_file	pinned	short_description
Autonews	💻	pink	pink	gradio	5.17.1	app.py	false	get news and post them

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

AutoNews - Automated News Aggregator and Publisher

AutoNews is an automated system that fetches news from various RSS feeds, processes them using AI, and publishes them to a Blogger blog.

Author & Developer

Developed by Utkarsh Gautam

Features

• RSS feed aggregation from multiple sources (Times of India, Hindustan Times)
• AI-powered article summarization using Hugging Face's Gemma-2-2b model
• Automated publishing to Blogger platform
• SEO optimization of content
• Simple Gradio web interface

Prerequisites

• Python 3.8+
• Hugging Face API token
• Google OAuth2 credentials for Blogger API
• Virtual environment (recommended)

Installation

1. Clone the repository:

git clone <repository-url>
cd autonews

2. Create and activate virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Set up environment variables: Create a .env file with:

HUGGINGFACE_API_TOKEN=your_token
GOOGLE_CLIENT_ID=your_client_id
GOOGLE_PROJECT_ID=your_project_id
GOOGLE_CLIENT_SECRET=your_client_secret
GOOGLE_REDIRECT_URI=http://localhost:8080/

Configuration

1. RSS Feeds:

• Edit processing_articles.py to modify RSS feed sources
• Current sources include Times of India and Hindustan Times sections

2. Blogger Setup:

• Place your client_secret.json in the root directory
• Run the app once to authenticate with Google

Usage

1. Start the Gradio interface:

python app.py

2. Access the web interface at http://localhost:7860

3. Click the button to:

• Fetch latest news articles
• Process and summarize content
• Post to your Blogger blog

How It Works

1. News Fetching (processing_articles.py):

   • Fetches RSS feeds from configured sources
   • Extracts article content using newspaper3k
   • Implements retry mechanism with exponential backoff

2. AI Processing:

   • Uses Hugging Face's Gemma-2-2b model
   • Generates SEO-optimized summaries
   • Creates meta descriptions

3. Publishing (caller.py):

   • Authenticates with Blogger API
   • Posts processed articles
   • Handles rate limiting

Deployment

The application can be deployed on Hugging Face Spaces:

1. Create a new Space on Hugging Face
2. Configure the Space settings using the provided README.md front matter
3. Push your code to the Space's repository

Contributing

Contributions are welcome! Please feel free to submit pull requests.