This repository offers a Python-based tool for fetching and summarizing research papers from arXiv, leveraging the free Gemini API. It targets researchers, students, and academics seeking to quickly digest key insights from papers. The primary benefit is automating the process of identifying and summarizing relevant literature, saving significant manual effort.

How It Works

The project consists of Python scripts that interact with arXiv to retrieve paper abstracts. It utilizes the Gemini API to generate concise summaries of these papers. The tool supports multiple operational modes: summarizing a single paper via its URL, processing a batch of papers from a provided text file of URLs, or fetching and summarizing papers based on specified keywords and date ranges. An optional Google Apps Script component enables daily automation, pushing new article titles and summaries to a Google Doc.

Quick Start & Requirements

• Primary install/run command: python url_summarize.py or python keywords_summarizer.py.
• Prerequisites: Python 3.11, Conda (for environment management), and a Google Gemini API key.
• Setup: Clone the repository, create and activate a Conda environment (conda create -n arxiv_summarizer python=3.11, conda activate arxiv_summarizer), install dependencies (pip install -r requirements.txt), and configure the Gemini API key within the url_summarize.py script.
• Links: Gemini API key can be obtained from Google's Gemini API page.

Highlighted Details

• Supports summarization for single URLs, batch URLs from a file (links.txt), and keyword-based searches with date ranges.
• Integrates with the free Gemini API for AI-powered summarization.
• Includes an optional Google Apps Script for daily automated fetching and summarization, logging results to a Google Doc.

Maintenance & Community

Contributions are welcomed via issues or pull requests. Support is available by opening an issue on the repository. No specific community channels (e.g., Discord, Slack) are listed.

Licensing & Compatibility

The repository's README does not specify a software license. This absence creates ambiguity regarding usage rights, modification, and distribution, particularly for commercial applications or integration into closed-source projects.

Limitations & Caveats

A Gemini API key is mandatory for the summarization functionality. The automation feature requires user setup and configuration of Google Apps Script and a Google Doc. The lack of a declared open-source license is a significant adoption blocker, requiring clarification before widespread use.