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The main goal of an AI-Powered News Summarizer is to assist users in quickly understanding the main points and essential information from a large volume of news articles or textual content. By automatically summarizing news articles, it saves time and effort by providing users with a brief overview without having to read the entire article.

License: MIT License

JavaScript 9.29% CSS 15.98% Python 44.90% HTML 29.83%
ai-summarizer article-extractor artifi flask gui-application news newsfeed newsscraper newssummary python save-time sqlite-database webapp

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ai-powered-news-summarizer's Issues

Categorize the articles

Categorizing the articles using cohere's classify function.
The categories should be.

  • Business
  • Entertainment
  • Family
  • Health
  • Politics
  • Religion
  • Science
  • Sports
  • Technology
  • Travel
  • Vehicles
  • Video
  • World

Added Error Handling

Added Error Handling when there is any error it retries for 7 maximum times and moves on to next link. Usually where the API calls / minute is Limited to 5.

Use of Actual Summarization Model

Fixed the Issue where Model Generates Summaries in Random Format and add other things like "What would you like me to do next?". The use of Actual summarization model from cohere fixed that when updating cohere module to latest version at the time of writing this.

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