PubMed Central LLM Summaries

pmc_llm_userscript.js

// ==UserScript==
// @name         PubMed Central LLM Summaries
// @namespace    http://example.com
// @version      0.2
// @description  Add LLM Summaries to PMC
// @author       cannin
// @match        https://pubmed.ncbi.nlm.nih.gov/?term=*
// @match        https://pubmed.ncbi.nlm.nih.gov/*/
// @match        https://www.ncbi.nlm.nih.gov/labs/pmc/articles/*/
// @match        https://www.ncbi.nlm.nih.gov/pmc/articles/*/
// @match        https://pmc.ncbi.nlm.nih.gov/articles/*/
// @icon         https://www.google.com/s2/favicons?domain=nih.gov
// @require      https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js
// @grant        GM_xmlhttpRequest
// ==/UserScript==

(function() {
    'use strict';

    if(window.top.document.location.href.indexOf('pmc') !== -1) {
        $('p').each(function(index) {
            var item = $(this);
            var text = item.text();
            //console.log(text);

            // OpenAI ChatGPT (pay); https://platform.openai.com/
            var url_llm = 'https://api.openai.com/v1/chat/completions';
            var apikey = "sk-proj-FIXME"; 
            var model = "gpt-4o-mini";

            // Ollama (free); https://ollama.com/
            //var url_llm = 'http://localhost:11434/v1/chat/completions';
            //var apikey = "";
            //var model = "llama3.2:3b";

            var prompt = "Do not provide introductory text. Summarize the following INPUT TEXT in one sentence. Include all acronym definitions in the summary. VERY IMPORTANT: The summary should be in Spanish. INPUT TEXT: ";

            if(text.length < 500) {
                return true;
            }

            console.log(url_llm);

            var data = {
                "model": model,
                "messages": [
                    {
                        "role": "user",
                        "content": prompt + text
                    }
                ]
            };

            var jsonStr = JSON.stringify(data).trim();
            console.log(jsonStr);

            GM_xmlhttpRequest({
                method: "POST",
                data: jsonStr,
                headers:    {
                    "Content-Type": "application/json",
                    "Authorization": `Bearer ${apikey}`
                },
                url: url_llm,
                onload: function(response) {
                    if(response.status == 200) {
                        var data = JSON.parse(response.responseText);
                        var newItem = '<p class="p p-first-last"><font color="darkred"><strong>TLDR: </strong>' + data.choices[0].message.content + '</font></p>';
                        item.before(newItem);
                        console.log("SUMMARY: " + data.choices[0].message.content);
                    } else {
                        console.log("ERROR: LLM");
                    }
                }
            });

            console.log("DONE");

        });
    }
})();