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prakaashcodes6/AI-News-Aggregator

sourceHugging Faceupdated 2y agoView on Hugging Face
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App README

AI Global News Aggregator

Overview

The AI Global News Aggregator is a Python application built using Gradio and leveraging the NewsAPI and OpenAI's GPT-3.5-Turbo models to provide users with AI-generated summaries of global news headlines. This tool allows users to select a news category and receive a list of articles with summaries, sources, and optional images.

Features

  • —News Fetching: Utilizes the NewsAPI to retrieve top headlines from various categories.
  • —Article Summarization: Uses OpenAI's GPT-3.5-Turbo to generate concise summaries of each article.
  • —User Interface: Provides an interactive web interface using Gradio where users can select a news category and view the summarized news.

Installation

Prerequisites

Before running the application, ensure you have the following installed:

  • —Python 3.8+
  • —Environment variables set for NEWSAPI_KEY and OPENAI_API_KEY

Installation Steps

  1. 1.Clone the repository or download the code.
  2. 2.Install the required dependencies by running:
bash
pip install -r requirements.txt

Usage

  1. 1.Set the necessary environment variables (NEWSAPI_KEY and OPENAI_API_KEY) in your system.
  2. 2.Run the application:
bash
python app.py

This will start the Gradio interface on your local machine, typically accessible at http://localhost:7860.

Code Explanation

Imports

python
import os
from newsapi import NewsApiClient
import logging
from openai import OpenAI
import gradio as gr

These imports include necessary libraries for interacting with APIs, handling logging, and creating the user interface.

Environment Variables

python
NEWSAPI_KEY = os.environ.get('NEWSAPI_KEY')
OPENAI_API_KEY = os.environ.get('OPENAI_API_KEY')

Environment variables are used to store sensitive information such as API keys securely.

Logging Configuration

python
logging.basicConfig(level=logging.INFO)

Sets up basic configuration for logging to capture informational messages.

Functions

fetch_global_headlines

Retrieves top headlines from the NewsAPI based on the specified category.

summarize_article

Generates a summary of a given article text using the OpenAI GPT-3.5-Turbo model.

news_aggregator

Aggregates news articles by fetching headlines and summarizing them. It constructs HTML content for display.

Categories

python
CATEGORIES = [
    "business", "entertainment", "general", "health",
    "science", "sports", "technology"
]

List of predefined news categories.

Gradio Interface

python
iface = gr.Interface(
    fn=news_aggregator,
    inputs=gr.Dropdown(choices=CATEGORIES, label="Global News Category"),
    outputs=gr.HTML(label="Global News Summaries"),
    title="AI Global News Aggregator",
    description="Select a category to get AI-summarized global news headlines with links and images."
)

iface.launch()

Creates and launches the Gradio interface, allowing users to interact with the application through a web browser.

Contributing

Contributions are welcome! Feel free to submit issues or pull requests to improve the project.

License

This project is licensed under the MIT License 

## Recent Updates (Day 4)

### New Features and Improvements

1. **Asynchronous Processing**
   - Implemented asynchronous API calls using `asyncio` and `aiohttp`.
   - Improved overall performance by allowing concurrent processing of multiple articles.

2. **Caching Mechanism**
   - Added caching for article summaries using `lru_cache`.
   - Reduces API calls and improves response time for previously summarized articles.

3. **Enhanced Error Handling**
   - Improved error logging and handling for both NewsAPI and OpenAI API calls.
   - More informative error messages for users in case of API failures.

4. **UI Enhancements**
   - Updated CSS for a more polished look.
   - Improved layout of article cards for better readability.

5. **Performance Optimizations**
   - Reduced latency in fetching and summarizing articles.
   - Improved overall responsiveness of the application.

6. **Prompt Engineering
   - Refined AI prompts to provide more concise, focused, and informative news article summaries.
   - System message added to guide the AI for consistent results.

7. **Testing Improvements
   - Performed iterative testing to ensure that the prompt engineering and async updates provide consistent results across various articles.
   - Focused on maintaining quality, relevance, and performance improvements.




This README provides a comprehensive overview of the application, its features, installation steps, usage instructions, and additional details to help users understand and utilize the `AI Global News Aggregator`.