Welcome to the AI Article Summarizer project leveraging OpenAI's GPT (Generative Pre-trained Transformer) technology. This tool is designed to efficiently condense lengthy articles into concise and coherent summaries, enabling users to grasp key information swiftly.
- Implementation of OpenAI's GPT model for advanced natural language processing and text summarization.
- Ability to distill extensive articles into succinct and informative summaries.
- Retention of essential context and details from the original text.
- Streamlined solution for processing and summarizing large volumes of text content.
- Clone the repository:
git clone https://github.com/OpenAI/gpt-3.git - Install necessary dependencies:
pip install -r requirements.txt
- Initialize the pre-trained GPT model.
- Input the article text to be summarized.
- Execute the AI Article Summarizer to generate a concise summary.
- Review the output summary produced by the model.
from gpt_model import GPTModel
# Load the pre-trained GPT model
model = GPTModel()
# Input article text
article_text = "Lorem ipsum dolor sit amet, consectetur adipiscing elit..."
# Generate summary
summary = model.summarize(article_text)
print(summary)We welcome contributions to enhance this project. To contribute, kindly fork the repository, implement your changes, and submit a pull request for review.
For inquiries or feedback, please reach out to us at connectmanumishra@gmail.com.
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