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Provide a user-friendly interface for inputting text\n2. Process the input using a large language model (LLama3 via Groq)\n3. Extract and structure key arguments, explanations, and relevant quotes\n4. Present the summarized arguments in a clear, organized format\n\nThe main pipeline:\n1. User inputs text through a web interface\n2. The input is sent to an AI model for processing\n3. The AI extracts and structures the arguments\n4. The results are validated against a predefined schema\n5. The structured arguments are displayed to the user\n\nThis 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.\n*/\n\n\n\nimport { Hono } from \"https://deno.land/x/hono@v3.11.7/mod.ts\";\nimport { z } from 'npm:zod';\nimport { zerialize } from \"npm:zodex\";\n\nconst app = new Hono();\n\nconst pipeline_url = `https://yawnxyz-executeproxy.web.val.run/execute`\n// const pipeline_url = `http://localhost:9999/execute`;\nconst useCache = true;\nconst saveCache = true;\n// const model = \"llama-3.1-8b-instant\"\n// const provider = \"groq\"\n\n// keeps running out, but better than mini\n// const model = \"models/gemini-1.5-flash-latest\"\n// const model = \"models/gemini-1.5-pro-latest\"\n// const provider = \"google\"\n// const model = \"gpt-4o-mini\"\nconst model = \"gpt-4o\"\nconst provider = \"openai\"\n\nconst summaryModel = \"gpt-4o-mini\"\nconst summaryProvider = \"openai\"\n\n\nconst argschema = z.object({\n arguments: z.array(z.object({\n argument: z.string(),\n explanation: z.string(),\n quote: z.string()\n }))\n});\n\nconst zargschema = zerialize(argschema);\n\nconst critschema = z.object({\n critiques: z.array(z.object({\n critique: z.string(),\n evaluation: z.string(),\n quote: z.string()\n }))\n});\nconst zcritschema = zerialize(critschema);\n\n// Move pipeline definition to server-side execute endpoint\napp.post(\"/execute\", async (c) => {\n const body = await c.req.json();\n const input = body.input;\n\n console.log('[execute] input:', input);\n\n const pipeline = [\n {\n \"name\": \"concurrent\",\n \"steps\": [\n {\n \"name\": \"ai\",\n \"save\": \"arguments\",\n \"settings\": {\n \"system\": \"You are an AI assistant tasked with analyzing text and generating a summary of thought-through arguments. Follow these steps:\\\\n1.) Analyze the input text and identify 5 key arguments or points.\\\\n2.) For each argument:\\\\n a. Clearly state the argument or point\\\\n b. Provide a detailed explanation or analysis\\\\n c. Include a relevant, direct quote from the text to support the argument\\\\n3.) Output the result as a JSON object with 'argument', 'explanation', and 'quote' keys for each point. Don't include any other text. ONLY OUTPUT JSON. Do not introduce yourself. Important: If the article content seems to be missing or locked behind a paywall, respond to say that the content is missing.\",\n \"prompt\": input,\n \"model\": model,\n \"provider\": provider,\n \"structuredOutputs\": true,\n \"outputType\": \"object\",\n \"schemaName\": \"argumentAnalysis\",\n \"schemaDescription\": \"Analysis of key arguments from the input text\",\n \"zschema\": zargschema,\n }\n },\n {\n \"name\": \"ai\",\n \"save\": \"overallsummary\",\n \"settings\": {\n \"system\": \" You are an AI assistant tasked with summarizing the input text in a balanced, third-person way, talking about the text as a whole and in a meta-sense about what the authors are trying to say, and what they're communicating. Just output the summary, no intro, no explanation, no commentary. Don't introduce the summary just write it.\",\n \"prompt\": input,\n \"model\": summaryModel,\n \"provider\": summaryProvider,\n }\n },\n ]\n },\n {\n \"name\": \"concurrent\",\n \"steps\": [\n {\n \"name\": \"ai\",\n \"save\": \"summary\",\n \"settings\": {\n \"prompt\": \"Please combine the arguments in to a paragraph that contains overarching argument, using each argument's analysis: {arguments}. Just output the summary, no intro, no explanation, no commentary. Don't introduce the summary just write it.\",\n \"model\": summaryModel,\n \"provider\": summaryProvider,\n }\n },\n {\n \"name\": \"ai\",\n \"save\": \"summarybullets\",\n \"settings\": {\n \"prompt\": \"Please create a list of 4-8 of the most important key bullet points, in markdown, for the following argument summary:

{summary}

. Just output the bullet points in markdown, no intro, no explanation, no commentary. Don't introduce the response just write it.\",\n \"model\": summaryModel,\n \"provider\": summaryProvider,\n }\n },\n {\n \"name\": \"ai\",\n \"save\": \"critiques\",\n \"settings\": {\n \"system\": \"You are an AI assistant tasked with constructively critiquing the arguments of this text and generating a summary of your critiques. Please critique from a meta, academic level, like a peer reviewer would do. Pick apart the arguments. If a research paper, did the authors follow through? Is the data thorough? Are the arguments cohesive? Did the article or paper support their arguments?. Follow these steps:\\\\n1.) Evaluate the input text and identify 5 key critiques or points.\\\\n2.) For each critique:\\\\n a. Clearly state the critique or point\\\\n b. Provide a detailed explanation or analysis of your critique\\\\n c. Include a relevant, direct quote from the text to support the critique or evaluation\\\\n3.) Output the result as a JSON object with 'critique', 'evaluation', and 'quote' keys for each point. Don't include any other text. ONLY OUTPUT JSON. Do not introduce yourself. Important: If the article content seems to be missing or locked behind a paywall, respond to say that the content is missing.\",\n \"prompt\": input,\n \"model\": model,\n \"provider\": provider,\n \"structuredOutputs\": true,\n \"outputType\": \"object\",\n \"schemaName\": \"critiqueAnalysis\",\n \"schemaDescription\": \"Analysis of key critiques from the input text\",\n \"zschema\": zcritschema,\n }\n },\n {\n \"name\": \"ai\",\n \"save\": \"critiquesummary\",\n \"settings\": {\n \"prompt\": \"Please combine the critiques in to a paragraph that contains overarching critique, using each critique's analysis: {critiques}. Just output the critique summary, no intro, no explanation, no commentary. Don't introduce the summary just write it.\",\n \"model\": model,\n \"provider\": provider,\n }\n },\n {\n \"name\": \"ai\",\n \"save\": \"critiquesummarybullets\",\n \"settings\": {\n \"prompt\": \"Please create a list of 4-8 of the most important key bullet points, in markdown, for the following critique summary: {critiquesummary}. Just output the bullet points in markdown, no intro, no explanation, no commentary. Don't introduce the response just write it.\",\n \"model\": summaryModel,\n \"provider\": summaryProvider,\n }\n },\n {\n \"name\": \"ai\",\n \"save\": \"balancedsummary\",\n \"settings\": {\n \"prompt\": \"Please combine the summary and critiques in to a paragraph that contains an overarching balanced summary, using each argument's analysis: {analysis} and critique's analysis: {critiques}. Just output the balanced summary, no intro, no explanation, no commentary. Don't introduce the summary just write it.\",\n \"model\": summaryModel,\n \"provider\": summaryProvider,\n }\n },\n {\n \"name\": \"ai\",\n \"save\": \"balancedsummarybullets\",\n \"settings\": {\n \"prompt\": \"Please create a list of 4-8 of the most important key bullet points, in markdown, for the following balanced summary: {balancedsummary}. Just output the bullet points in markdown, no intro, no explanation, no commentary. Don't introduce the response just write it.\",\n \"model\": summaryModel,\n \"provider\": summaryProvider,\n }\n },\n {\n \"name\": \"ai\",\n \"save\": \"title\",\n \"settings\": {\n \"prompt\": \"Please create a short 3-8 word, nuanced and balanced title for the following summary:

{balancedsummarybullets}

. Just output the title, no intro, no explanation, no commentary. Don't introduce the response just write it.\",\n \"model\": summaryModel,\n \"provider\": summaryProvider,\n }\n },\n ]\n },\n {\n \"name\": \"data\",\n \"settings\": {\n \"data\": {\n \"title\": \"{title}\",\n \"overallsummary\": \"{overallsummary}\",\n \"summary\": \"{summary}\",\n \"summarybullets\": \"{summarybullets}\",\n \"arguments\": \"{arguments}\",\n \"critiques\": \"{critiques}\",\n \"critiquesummary\": \"{critiquesummary}\",\n \"critiquesummarybullets\": \"{critiquesummarybullets}\",\n \"balancedsummary\": \"{balancedsummary}\",\n \"balancedsummarybullets\": \"{balancedsummarybullets}\",\n }\n }\n }\n ]\n\n const response = await fetch(pipeline_url, {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\"\n },\n body: JSON.stringify({ \n verbose: true,\n useCache: useCache,\n saveCache: saveCache,\n pipeline \n })\n });\n\n const result = await response.json();\n console.log('[execute] result:', result);\n return c.json(result);\n});\n\n// Add new route for fetching source content\napp.post(\"/fetch-source\", async (c) => {\n const body = await c.req.json();\n const url = body.url;\n\n if (!url) {\n return c.json({ error: \"URL is required\" }, 400);\n }\n\n const pipeline = [{\n \"name\": \"getContent\",\n \"settings\": {\n \"url\": url,\n \"optionStr\": \"content,doi,citation\",\n \"crawlMode\": \"jina\",\n \"outputMode\": \"markdown\"\n }\n }];\n\n try {\n const response = await fetch(pipeline_url, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ \n useCache: useCache,\n saveCache: saveCache,\n pipeline \n })\n });\n\n if (!response.ok) {\n throw new Error(`Failed to fetch content from ${url}`);\n }\n\n const result = await response.json();\n console.log('[fetch-source] result:', result);\n return c.json({ content: result.content || result.text || result });\n } catch (error) {\n console.error(`Error fetching source ${url}:`, error);\n return c.json({ error: error.message }, 500);\n }\n});\n\nconst module = `\n\n\n`;\n\n\nconst html = `\n\n\n\n \n \n \n Breakdown\n \n \n \n \n \n \n \n \n \n\n\n \n \n\n\n

Breakdown

\n 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.\n

\n Example: https://www.nature.com/articles/srep26717#introduction\n

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

\n \n

\n \n \n

\n A labspace.ai experiment\n

\n\n ${module}\n\n\n`;\n\napp.get(\"/\", (c) => c.html(html));\n\nexport default (typeof Deno !== \"undefined\" && Deno.env.get(\"valtown\")) ? app.fetch : app;\n\n","/*\nThis project is an argument summarizer that leverages AI to analyze and extract key arguments from a given text.\n\nGoals:\n1. Provide a user-friendly interface for inputting text\n2. Process the input using a large language model (LLama3 via Groq)\n3. Extract and structure key arguments, explanations, and relevant quotes\n4. Present the summarized arguments in a clear, organized format\n\nThe main pipeline:\n1. User inputs text through a web interface\n2. The input is sent to an AI model for processing\n3. The AI extracts and structures the arguments\n4. The results are validated against a predefined schema\n5. The structured arguments are displayed to the user\n\nThis 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.\n*/\n\n\n\nimport { Hono } from \"https://deno.land/x/hono@v3.11.7/mod.ts\";\nimport { execute2, fetchSource, smartModel, smartProvider, summaryModel, summaryProvider } from \"https://esm.town/v/yawnxyz/middleware.js\";\nimport { tailwindConfig, tailwindStyles } from \"https://esm.town/v/yawnxyz/styles.js\";\n\nconst app = new Hono();\n// app.post(\"/execute\", execute);\napp.post(\"/execute2\", execute2);\napp.post(\"/fetch-source\", fetchSource);\n\nconst module = `\n\n\n`;\n\nconst html = `\n\n\n\n \n \n \n Breakdown\n \n \n \n \n \n \n \n \n \n\n \n \n \n \n \n \n\n\n

Breakdown

\n This tool breaks down any text into arguments and critiques, and attempts to support with citations from the text. This works best with short texts like abstracts, journal articles, news articles, and press releases.\n

\n Try using these examples below: \n

https://www.nature.com/articles/srep26717
https://arstechnica.com/health/2024/11/as-hospitals-struggle-with-iv-fluid-shortage-nc-plant-restarts-production

\n Inspiration: rohanpaul_ai | ${smartProvider}/${smartModel}\n

\n \n \n\n

\n \n \n

\n\n

\n\n \n

\n \n

\n\n \n

Show Input Text

This was the text that was fed into the AI model.

\n\n \n

\n \n \n \n

\n\n \n

\n \n

\n\n

\n \n

\n\n

\n \n

\n A labspace.ai experiment\n

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Diff · v23