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Arxiv Summarizer
Overview :
This product is a Python script that uses the Gemini API to retrieve and summarize research papers from arXiv. It helps researchers, students, and enthusiasts quickly extract key information, saving time spent on reading lengthy documents. The tool is not only suitable for individual users but can also automate daily literature searches to enhance research efficiency. The product is free to use and easy to install and configure.
Target Users :
This product is suitable for researchers, students, and literature workers who need to quickly grasp the core content of research papers. By automating the literature summary function, they can save time and improve work efficiency.
Use Cases
A graduate student uses the tool to quickly access the latest research developments in their field.
A research team uses the batch summary function to quickly analyze commonalities and trends in multiple papers.
A teacher uses the automated daily extraction feature to organize new related literature into a Google document.
Features
Single URL Summary: Provide the URL of an arXiv paper and quickly generate a summary.
Batch URL Summary: Read multiple arXiv paper URLs from a text file and batch generate summaries.
Keyword-based Batch Summary: Extract and summarize relevant papers based on specified keywords and date ranges.
Automated Daily Extraction: Can be automated for daily extraction and summarization of literature via Google Apps Script.
Gemini API Integration: Use the free Gemini API for high-quality summary generation.
Simple Installation: Easily install and configure using Conda and pip.
How to Use
Clone the repository locally: git clone https://github.com/Shaier/arxiv_summarizer.git.
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Navigate to the repository directory: cd arxiv_summarizer.
Create and activate the Conda environment: conda create -n arxiv_summarizer python=3.11, conda activate arxiv_summarizer.
Install required dependencies: pip install -r requirements.txt.
Configure the Gemini API key: Replace YOUR_GEMINI_API_KEY in the url_summarize.py file with your actual API key.
Run the script to summarize a single paper: python url_summarize.py, choose input 1 and provide an arXiv URL.
Batch process multiple papers: Add multiple URLs to links.txt, run the script and choose input 2.
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