Users are responsible for any consequences resulting from the use of this application and its generated content. The application is provided "as is" without any warranties or guarantees. The quality of the generated content may vary, and users are advised to review the output before using it for any critical purposes. How our summarizer works: Copy all the needed paragraphs you need to create a summary. Trained by machine learning, Paraphraser.io text summarizer uses the concept of abstractive summarization to summarize a book, an article, or a research paper. This application uses the GPT-3 language model provided by OpenAI. Essay Summarizing Tool Without Plagiarizing. The PDF Summary Generator is released under the MIT License. If you find any issues or have suggestions for improvements, please open an issue on the GitHub repository. "essential_info": "This is the essential information extracted."Ĭontributions to the PDF Summary Generator are welcome! If you would like to contribute, please fork the repository, make your changes, and submit a pull request. "notes_summary": "This is the summary of the notes.", "notes": "These are the notes extracted from the document.", "summary": "This is the summary of the PDF document.", The following Python libraries: flask, pdfplumber, openai, glob2, and textwrap Installation To use the PDF Summary Generator, you need the following:Īn OpenAI API key (you can obtain one by signing up for an account on the OpenAI platform) Provide a RESTful API endpoint for easy integration with other applications. Generate additional content such as essential information and blog posts. Generate notes and summaries of notes from the text. Generate summaries of the extracted text using GPT-3.5-turbo. FeaturesĮxtract text from PDF files and convert them to plain text format. The application is built using the Flask web framework, making it easy to deploy and use. The application uses the pdfplumber library to extract text from PDF files, and the openai library to interact with the GPT-3.5-turbo API. The application provides a RESTful API endpoint that accepts PDF files as input and returns a JSON object containing the generated summaries, notes, and additional content. The PDF Summary Generator is a Python-based application that leverages the capabilities of OpenAI's GPT-3.5-turbo language model to automatically generate summaries, notes, and other content from PDF documents. Select text directly from the webpage you're on - a paragraph or an article - and you can receive a summary with a single click.PDF Summary Generator with Python Script Overview Time-saving: The YouTube Summary Generator provides concise summaries, letting you understand video content in a fraction of the original video length. Install the HIX.AI Chrome extension, you can use our AI summarizing tool anywhere on the web.
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