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https://github.com/ai-naymul/news-headline-generator


https://github.com/ai-naymul/news-headline-generator

Last synced: 29 days ago
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README 

        
This the News Headline Generator Application, a shot application where it get some news from api and generate a fake news headline using LLM and compare it to (The real one). This is just a fun project.



Here is the subtasks:



1. Set Up the Environment:

    - Install necessary Python libraries (transformers, torch, requests, etc.).

    - Set up the API key for any pre-trained language model you plan to use (e.g., OpenAI GPT-3.5, Google Gemini Pro).



2. Fetch Current News Headlines:

    - Use a news API (e.g., NewsAPI, Bing News Search API) to fetch current news headlines.

    - Parse and store these headlines for use in the project.



3. Prepare the Language Model:

    - Load the pre-trained language model (e.g., GPT-3.5 from OpenAI, or a Hugging Face model).

    - Ensure the model is ready to generate text based on given prompts.



4. Generate Fake News Headlines:

    - Create a function to generate fake news headlines using the language model.

    - Input real news headlines or keywords as prompts to the language model.

    - Store the generated fake headlines.



5. Compare Real and Fake Headlines:

    - Display the real and generated fake headlines side by side.

    - Optionally, add a feature to highlight differences or similarities between them.



6. Build a Simple User Interface:

    - Create a basic web interface using a framework like Flask or Streamlit.

    - Provide an input field for users to fetch new headlines and generate fake ones.

    - Display the results in a user-friendly format.



Let's gooooooo