scrapebiblio 1.1.0

library for extracting reference from documents

ScrapeBiblio: PDF Reference Extraction and Verification Library

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This library is designed to extract references from a PDF file, check them against the Semantic Scholar database, and save the results to a Markdown file.

Overview

The library performs the following steps:

First usage: extracting references from

1. Extract Text from PDF: Reads the content of a PDF file and extracts the text.
2. Split Text into Chunks: Splits the extracted text into smaller chunks to manage large texts efficiently.
3. Extract References: Uses the OpenAI API to extract references from the text.
4. Save References: Saves the extracted references to a Markdown file.
5. Check References in Semantic Scholar: (Optional) Checks if the extracted references are present in the Semantic Scholar database.

Installation and Setup

To install the required dependencies, you can use the following command:

pip install scrapebiblio

Ensure you have a .env file in the root directory of your project with the following content:

OPENAI_API_KEY="YOUR_OPENAI_KEY"
SEMANTIC_SCHOLARE_API_KEY="YOUR_SEMANTIC_SCHOLAR_KEY"

Usage

To use the library, ensure you have the required environment variables set and run the script. The extracted references will be saved to a Markdown file named references.md.

Example

Here is an example of how to use the library:

import logging
import os
from dotenv import load_dotenv
from biblio.find_reference import process_pdf

logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s')

load_dotenv()

def main():
    """
    Main function that processes a PDF, extracts text, and saves the references.
    """
    pdf_path = 'test/558779153.pdf'
    references_output_path = 'references.md'

    openai_api_key = os.getenv('OPENAI_API_KEY')
    semantic_scholar_api_key = os.getenv('SEMANTIC_SCHOLARE_API_KEY')

    if not openai_api_key:
        raise EnvironmentError("OPENAI_API_KEY environment variable not set.")
    if not semantic_scholar_api_key:
        raise EnvironmentError("SEMANTIC_SCHOLARE_API_KEY environment variable not set.")

    logging.debug("Starting PDF processing...")

    process_pdf(pdf_path, references_output_path, openai_api_key, semantic_scholar_api_key)

    logging.debug("Processing completed.")

if __name__ == "__main__":
    main()

Contributing

We welcome contributions to this project. If you would like to contribute, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bugfix.
3. Make your changes.
4. Submit a pull request with a detailed description of your changes.

License

This project is licensed under the MIT License. See the LICENSE file for more information.