/* This project is an argument summarizer that leverages AI to analyze and extract key arguments from a given text. Goals: 1. Provide a user-friendly interface for inputting text 2. Process the input using a large language model (LLama3 via Groq) 3. Extract and structure key arguments, explanations, and relevant quotes 4. Present the summarized arguments in a clear, organized format The main pipeline: 1. User inputs text through a web interface 2. The input is sent to an AI model for processing 3. The AI extracts and structures the arguments 4. The results are validated against a predefined schema 5. The structured arguments are displayed to the user This tool aims to help users quickly understand the main points and supporting evidence in complex texts or discussions, making it valuable for research, debate preparation, or general comprehension of argumentative content. */ import { Hono } from "https://deno.land/x/hono@v3.11.7/mod.ts"; import { z } from 'npm:zod'; import { zerialize } from "npm:zodex"; const app = new Hono(); // const url = `http://localhost:8000/execute`; const url = `https://yawnxyz-executeproxy.web.val.run/execute` const model = "llama-3.1-8b-instant" const provider = "groq" const schema = z.object({ arguments: z.array(z.object({ argument: z.string(), explanation: z.string(), quote: z.string() })) }); const zschema = zerialize(schema); console.log(zschema); const module = ``; const html = ` Argument Summarizer

Argument & Abstract Summarizer

Paste an abstract, paper, or news article to get a list of arguments. Instead of summarizing the paper, this tool breaks down the arguments and quotes from the text with citations — this prevents hallucinations and grounds every answer in the input. Works best with short texts like abstracts, news articles, and PR.

Inspiration: rohanpaul_ai | Model / Provider: ${model} / ${provider}

A labspace.ai experiment

${module} `; app.get("/", (c) => c.html(html)); export default (typeof Deno !== "undefined" && Deno.env.get("valtown")) ? app.fetch : app;

argsum