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:
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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).
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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.
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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.
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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.
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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.
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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