\n \n \n \n\n","019f7e60-2dd7-75e7-b119-cf1dffe11810",["D",1784531753547],"branchVersion","label",[182,68],"frontend","pulls","branches","forks","envVars",{"_190":26,"_192":26},"connections",{"_190":26,"_191":26},"count","unfilledCount","emptyCount",{"_33":304,"_13":182,"_66":177,"_43":-5,"_35":36,"_179":40,"_210":97,"_37":305,"_39":26,"_69":245,"_175":-5,"_70":24,"_180":-5,"_214":306,"_17":307},{"_33":300,"_13":275,"_66":269,"_43":177,"_35":36,"_179":40,"_210":97,"_37":301,"_39":26,"_69":245,"_175":-5,"_70":24,"_180":-5,"_214":302,"_17":303},{"_33":292,"_13":293,"_66":294,"_43":269,"_35":36,"_179":295,"_210":97,"_37":296,"_39":26,"_69":230,"_175":297,"_70":24,"_180":-5,"_214":298,"_17":299},{"_33":284,"_13":285,"_66":286,"_43":269,"_35":36,"_179":287,"_210":97,"_37":288,"_39":40,"_69":230,"_175":289,"_70":24,"_180":-5,"_214":290,"_17":291},{"_33":276,"_13":277,"_66":278,"_43":269,"_35":36,"_179":279,"_210":97,"_37":280,"_39":26,"_69":230,"_175":281,"_70":24,"_180":-5,"_214":282,"_17":283},{"_33":266,"_13":267,"_66":268,"_43":269,"_35":36,"_179":270,"_210":97,"_37":271,"_39":26,"_69":230,"_175":272,"_70":24,"_180":-5,"_214":273,"_17":274},{"_33":258,"_13":259,"_66":260,"_43":177,"_35":36,"_179":261,"_210":97,"_37":262,"_39":40,"_69":21,"_175":263,"_70":24,"_180":-5,"_214":264,"_17":265},{"_33":174,"_13":68,"_66":67,"_43":177,"_35":36,"_179":76,"_210":97,"_37":255,"_39":40,"_69":21,"_175":176,"_70":24,"_180":-5,"_214":256,"_17":257},{"_33":248,"_13":249,"_66":250,"_43":177,"_35":36,"_179":40,"_210":97,"_37":251,"_39":26,"_69":230,"_175":252,"_70":24,"_180":-5,"_214":253,"_17":254},{"_33":243,"_13":234,"_66":227,"_43":-5,"_35":36,"_179":238,"_210":97,"_37":244,"_39":26,"_69":245,"_175":-5,"_70":24,"_180":-5,"_214":246,"_17":247},{"_33":235,"_13":236,"_66":237,"_43":227,"_35":36,"_179":238,"_210":97,"_37":239,"_39":26,"_69":230,"_175":240,"_70":24,"_180":-5,"_214":241,"_17":242},{"_33":224,"_13":225,"_66":226,"_43":227,"_35":36,"_179":228,"_210":97,"_37":229,"_39":26,"_69":230,"_175":231,"_70":24,"_180":-5,"_214":232,"_17":233},{"_33":217,"_13":218,"_66":219,"_43":-5,"_35":36,"_179":123,"_210":97,"_37":220,"_39":40,"_69":21,"_175":221,"_70":24,"_180":-5,"_214":222,"_17":223},{"_33":207,"_13":208,"_66":95,"_43":-5,"_35":36,"_179":209,"_210":97,"_37":211,"_39":40,"_69":212,"_175":213,"_70":24,"_180":-5,"_214":215,"_17":216},"eae27074-1da3-45f3-a5c6-bcd998820493","index.ts",8,"latest",["D",1784531753554],"http","import { parseVal, serveFile } from \"https://esm.town/v/std/utils/index.ts\";\nimport { Hono } from \"npm:hono\";\nimport { initDB, saveAnalysis, getAnalyses, getAnalysis, deleteAnalysis } from \"./lib/db.ts\";\nimport { analyzeTranscript } from \"./lib/analyze.ts\";\n\nconst app = new Hono();\n\n// Initialize database on startup\nawait initDB();\n\n// Serve index.html at the root /\napp.get(\"/\", () => serveFile(\"/frontend/index.html\"));\n\n// Serve all /frontend files\napp.get(\"/frontend/**/*\", (c) => serveFile(c.req.path));\n\n// View source redirect\napp.get(\"/source\", (c) => c.redirect(parseVal().links.self.val));\n\n// API: Analyze a transcript\napp.post(\"/api/analyze\", async (c) => {\n try {\n const body = await c.req.json();\n const { title, transcript } = body;\n\n if (!transcript || typeof transcript !== \"string\") {\n return c.json({ error: \"transcript is required\" }, 400);\n }\n\n const result = await analyzeTranscript(transcript);\n const id = await saveAnalysis(\n title || \"Untitled Meeting\",\n transcript,\n result,\n );\n\n return c.json({ id, analysis: result });\n } catch (err) {\n return c.json({ error: err.message }, 500);\n }\n});\n\n// API: List all analyses\napp.get(\"/api/analyses\", async (c) => {\n const analyses = await getAnalyses();\n return c.json(analyses);\n});\n\n// API: Get a single analysis\napp.get(\"/api/analyses/:id\", async (c) => {\n const id = Number(c.req.param(\"id\"));\n if (isNaN(id)) return c.json({ error: \"Invalid ID\" }, 400);\n\n const analysis = await getAnalysis(id);\n if (!analysis) return c.json({ error: \"Not found\" }, 404);\n\n return c.json(analysis);\n});\n\n// API: Delete an analysis\napp.delete(\"/api/analyses/:id\", async (c) => {\n const id = Number(c.req.param(\"id\"));\n if (isNaN(id)) return c.json({ error: \"Invalid ID\" }, 400);\n\n await deleteAnalysis(id);\n return c.json({ success: true });\n});\n\n// Unwrap and rethrow Hono errors as the original error\napp.onError((err) => Promise.reject(err));\n\nexport default app.fetch;\n","children",[],[208],"db2f1d4f-00a7-4373-a92f-4e3f0a59b741","README.md","019f7e60-2dd7-75e7-b119-d2fc9419ab75",["D",1784531796578],"# 🥜 Granola Transcript Analyzer\n\nPaste your Granola meeting transcripts and get AI-powered topic analysis —\nextracted themes, key points, sentiment, discussion share, and action items.\n\n## Setup\n\n1. Add your OpenAI API key as an environment variable:\n 👉 Add OPENAI_API_KEY here: https://www.val.town/x/rodrigoweilg/granola-analyzer/environment-variables?key=OPENAI_API_KEY\n2. Open the app and paste a Granola transcript.\n3. Click **Analyze** — results are saved to SQLite and browsable in History.\n\n## Architecture\n\n```mermaid\ngraph LR\n Browser -->|\"GET /\"| Hono[\"index.ts
(Hono server)\"]\n Hono -->|serves| HTML[\"index.html\"]\n HTML -->|loads| React[\"React SPA\"]\n React -->|\"POST /api/analyze\"| Analyze[\"lib/analyze.ts
(OpenAI)\"]\n React -->|\"GET /api/analyses\"| DB[\"lib/db.ts
(SQLite)\"]\n Analyze -->|stores| DB\n```\n\n## File structure\n\n```\nindex.ts ← Hono backend (API routes + serves frontend)\nlib/\n db.ts ← SQLite schema & queries\n analyze.ts ← OpenAI transcript analysis logic\nfrontend/\n index.html ← HTML shell (Twind + React)\n index.tsx ← React entrypoint\n components/\n App.tsx ← Root: navigation + view switching\n TranscriptInput.tsx ← Paste transcript form\n AnalysisView.tsx ← Display analysis results\n HistoryList.tsx ← Browse past analyses\n```\n\n## API\n\n| Method | Route | Description |\n|--------|-------|-------------|\n| POST | `/api/analyze` | Analyze a transcript (body: `{title, transcript}`) |\n| GET | `/api/analyses` | List all past analyses |\n| GET | `/api/analyses/:id` | Get a single analysis |\n| DELETE | `/api/analyses/:id` | Delete an analysis |\n\n## Environment variables\n\n| Key | Description |\n|-----|-------------|\n| `OPENAI_API_KEY` | OpenAI API key for GPT-4o-mini |\n",[],[218],"3301c9c2-a395-4c26-8433-92cca6a4ff72","db.ts","d81ddb98-840a-11f1-9844-1607ee4eb77e","47aa3ae0-6146-45be-a49c-b19b6488ceca",6,["D",1784531753534],"script","import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nexport interface Analysis {\n id: number;\n title: string;\n transcript: string;\n analysis: AnalysisResult;\n created_at: string;\n}\n\nexport interface AnalysisResult {\n summary: string;\n participants: string[];\n topics: Topic[];\n action_items: ActionItem[];\n}\n\nexport interface Topic {\n name: string;\n key_points: string[];\n sentiment: \"positive\" | \"neutral\" | \"negative\" | \"mixed\";\n discussion_share: number;\n}\n\nexport interface ActionItem {\n task: string;\n assignee: string;\n priority: \"high\" | \"medium\" | \"low\";\n}\n\nexport async function initDB() {\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS analyses (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n title TEXT NOT NULL,\n transcript TEXT NOT NULL,\n analysis TEXT NOT NULL,\n created_at TEXT NOT NULL DEFAULT (datetime('now'))\n )\n `);\n}\n\nexport async function saveAnalysis(\n title: string,\n transcript: string,\n analysis: AnalysisResult,\n): Promise {\n const result = await sqlite.execute({\n sql: \"INSERT INTO analyses (title, transcript, analysis) VALUES (?, ?, ?)\",\n args: [title, transcript, JSON.stringify(analysis)],\n });\n return Number(result.lastInsertRowid);\n}\n\nexport async function getAnalyses(): Promise {\n const result = await sqlite.execute(\n \"SELECT id, title, transcript, analysis, created_at FROM analyses ORDER BY created_at DESC\",\n );\n return result.rows.map((row) => ({\n id: row.id as number,\n title: row.title as string,\n transcript: row.transcript as string,\n analysis: JSON.parse(row.analysis as string),\n created_at: row.created_at as string,\n }));\n}\n\nexport async function getAnalysis(id: number): Promise {\n const result = await sqlite.execute({\n sql: \"SELECT id, title, transcript, analysis, created_at FROM analyses WHERE id = ?\",\n args: [id],\n });\n if (result.rows.length === 0) return null;\n const row = result.rows[0];\n return {\n id: row.id as number,\n title: row.title as string,\n transcript: row.transcript as string,\n analysis: JSON.parse(row.analysis as string),\n created_at: row.created_at as string,\n };\n}\n\nexport async function deleteAnalysis(id: number): Promise {\n await sqlite.execute({\n sql: \"DELETE FROM analyses WHERE id = ?\",\n args: [id],\n });\n}\n",[],[234,225],"lib","88006a2f-28b3-4817-9df9-bfd04f0298db","analyze.ts","c20d71d8-840a-11f1-bd73-1607ee4eb77e",2,["D",1784531716519],"import type { AnalysisResult } from \"./db.ts\";\n\nconst SYSTEM_PROMPT = `You are an expert meeting analyst. Analyze the given meeting transcript and extract structured insights.\n\nReturn a JSON object with this exact shape:\n{\n \"summary\": \"A 2-3 sentence summary of the meeting\",\n \"participants\": [\"list of participant names mentioned\"],\n \"topics\": [\n {\n \"name\": \"Topic name (short)\",\n \"key_points\": [\"2-4 key points discussed about this topic\"],\n \"sentiment\": \"positive | neutral | negative | mixed\",\n \"discussion_share\": \"estimated percentage of meeting time spent on this topic (integer 1-100)\"\n }\n ],\n \"action_items\": [\n {\n \"task\": \"Description of the action item\",\n \"assignee\": \"Person responsible (or 'Unassigned')\",\n \"priority\": \"high | medium | low\"\n }\n ]\n}\n\nGuidelines:\n- Extract 3-7 main topics from the conversation\n- Be concise but specific in key_points\n- Identify clear action items only if they are actually discussed\n- discussion_share values across all topics should roughly sum to 100\n- If no action items were discussed, return an empty array\n- If participant names aren't clear, use speaker labels from the transcript`;\n\nexport async function analyzeTranscript(\n transcript: string,\n): Promise {\n const apiKey = Deno.env.get(\"OPENAI_API_KEY\");\n if (!apiKey) {\n throw new Error(\"OPENAI_API_KEY environment variable is not set\");\n }\n\n const response = await fetch(\n \"https://api.openai.com/v1/chat/completions\",\n {\n method: \"POST\",\n headers: {\n \"Authorization\": `Bearer ${apiKey}`,\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n model: \"gpt-4o-mini\",\n messages: [\n { role: \"system\", content: SYSTEM_PROMPT },\n { role: \"user\", content: transcript },\n ],\n response_format: { type: \"json_object\" },\n temperature: 0.3,\n }),\n },\n );\n\n if (!response.ok) {\n const error = await response.text();\n throw new Error(`OpenAI API error: ${response.status} ${error}`);\n }\n\n const data = await response.json();\n const content = data.choices?.[0]?.message?.content;\n if (!content) {\n throw new Error(\"No content returned from OpenAI\");\n }\n\n const result = JSON.parse(content) as AnalysisResult;\n\n // Validate and normalize\n if (!result.topics || !Array.isArray(result.topics)) {\n result.topics = [];\n }\n if (!result.action_items || !Array.isArray(result.action_items)) {\n result.action_items = [];\n }\n if (!result.participants || !Array.isArray(result.participants)) {\n result.participants = [];\n }\n\n return result;\n}\n",[],[234,236],"a403028b-b30e-433d-be5c-ab52767c08f2",["D",1784531716519],"directory",[203,204],[234],"888267fd-1a63-4d5a-ba02-033671d80ebd","index.tsx","019f7e60-2dd7-75e7-b119-cba05442a8a8",["D",1784531660162],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport { createRoot } from \"https://esm.sh/react-dom@18.2.0/client\";\nimport { App } from \"./components/App.tsx\";\n\nconst root = document.getElementById(\"root\");\nif (!root) {\n throw new Error(\"No root element found\");\n}\n\ncreateRoot(root).render();",[],[182,249],["D",1784531753547],[],[182,68],"8cebb2e7-eb4d-4913-867f-0b8ec68f4be8","favicon.svg","019f7e60-2dd7-75e7-b119-c36ee5db5727",10,["D",1784531775092],"\n\n",[],[182,259],"a92d9ea5-976b-4e46-a18c-60d32304e790","TranscriptInput.tsx","c240b25a-840a-11f1-b6c7-1607ee4eb77e","019f7e60-2dd7-75e7-b119-bcbad14af9fa",5,["D",1784531716530],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport { useState } from \"https://esm.sh/react@18.2.0\";\n\ninterface TranscriptInputProps {\n onSubmitted: (id: number) => void;\n}\n\nexport function TranscriptInput({ onSubmitted }: TranscriptInputProps) {\n const [title, setTitle] = useState(\"\");\n const [transcript, setTranscript] = useState(\"\");\n const [loading, setLoading] = useState(false);\n const [error, setError] = useState(null);\n\n async function handleSubmit(e: React.FormEvent) {\n e.preventDefault();\n if (!transcript.trim()) {\n setError(\"Please paste a transcript to analyze\");\n return;\n }\n setLoading(true);\n setError(null);\n try {\n const res = await fetch(\"/api/analyze\", {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({\n title: title.trim() || \"Untitled Meeting\",\n transcript: transcript.trim(),\n }),\n });\n if (!res.ok) {\n const err = await res.json();\n throw new Error(err.error || \"Failed to analyze transcript\");\n }\n const data = await res.json();\n setTitle(\"\");\n setTranscript(\"\");\n onSubmitted(data.id);\n } catch (err) {\n setError(err.message);\n } finally {\n setLoading(false);\n }\n }\n\n return (\n

\n \n Meeting Title\n \n setTitle(e.currentTarget.value)}\n placeholder=\"e.g. Weekly Product Sync — July 15\"\n class=\"w-full px-4 py-2 border border-gray-300 rounded-lg focus:ring-2 focus:ring-indigo-500 focus:border-transparent outline-none\"\n />\n

\n \n Transcript\n \n setTranscript(e.currentTarget.value)}\n placeholder=\"Paste your Granola transcript here...\"\n rows={12}\n class=\"w-full px-4 py-2 border border-gray-300 rounded-lg focus:ring-2 focus:ring-indigo-500 focus:border-transparent outline-none font-mono text-sm resize-y\"\n />\n

\n {transcript.length.toLocaleString()} characters\n

\n {error && (\n

\n {error}\n

\n )}\n \n {loading ? (\n \n ⏳ Analyzing transcript...\n \n ) : (\n \"✨ Analyze Transcript\"\n )}\n \n \n

\n );\n}\n",[],[182,275,267],"components","dc26433e-b3f7-4191-be47-70fea07ab2be","HistoryList.tsx","c2280020-840a-11f1-960f-1607ee4eb77e",4,["D",1784531716532],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport type { Analysis } from \"../../lib/db.ts\";\n\ninterface HistoryListProps {\n analyses: Analysis[];\n loading: boolean;\n onSelect: (id: number) => void;\n onNew: () => void;\n}\n\nexport function HistoryList({ analyses, loading, onSelect, onNew }: HistoryListProps) {\n if (loading) {\n return (\n

⏳

Loading analyses...

\n );\n }\n\n if (analyses.length === 0) {\n return (\n

📋

No analyses yet

Paste your first Granola transcript to get started

\n \n + New Analysis\n \n

\n );\n }\n\n return (\n

\n {analyses.map((a) => {\n const date = new Date(a.created_at + \"Z\").toLocaleDateString(undefined, {\n month: \"short\",\n day: \"numeric\",\n year: \"numeric\",\n hour: \"2-digit\",\n minute: \"2-digit\",\n });\n const topicCount = a.analysis.topics?.length || 0;\n const actionCount = a.analysis.action_items?.length || 0;\n\n return (\n onSelect(a.id)}\n class=\"w-full text-left bg-white rounded-xl shadow-sm border border-gray-100 p-5 hover:shadow-md hover:border-indigo-200 transition-all cursor-pointer\"\n >\n

{a.title}

{a.analysis.summary}

\n {date}\n 📂 {topicCount} topics\n ✅ {actionCount} action items\n {a.analysis.participants?.length > 0 && (\n 👤 {a.analysis.participants.length} participants\n )}\n

\n {a.analysis.topics?.slice(0, 4).map((t, i) => (\n \n {t.name}\n \n ))}\n {topicCount > 4 && (\n +{topicCount - 4}\n )}\n

\n \n );\n })}\n

\n );\n}\n",[],[182,275,277],"ac6c9d6d-7fdf-475a-ab3f-55f61bd31c19","App.tsx","019f7e60-2dd7-75e7-b119-b7db726ea8d6",11,["D",1784531775093],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport { useState, useEffect, useCallback } from \"https://esm.sh/react@18.2.0\";\nimport { TranscriptInput } from \"./TranscriptInput.tsx\";\nimport { AnalysisView } from \"./AnalysisView.tsx\";\nimport { HistoryList } from \"./HistoryList.tsx\";\nimport type { Analysis } from \"../../lib/db.ts\";\n\ntype View = \"new\" | \"history\" | \"detail\";\n\nexport function App() {\n const [view, setView] = useState(\"new\");\n const [analyses, setAnalyses] = useState([]);\n const [listLoading, setListLoading] = useState(false);\n const [currentAnalysis, setCurrentAnalysis] = useState(null);\n const [detailLoading, setDetailLoading] = useState(false);\n\n const fetchAnalyses = useCallback(async () => {\n setListLoading(true);\n try {\n const res = await fetch(\"/api/analyses\");\n if (res.ok) {\n const data = await res.json();\n setAnalyses(data);\n }\n } catch (err) {\n console.error(\"Failed to fetch analyses:\", err);\n } finally {\n setListLoading(false);\n }\n }, []);\n\n const fetchAnalysis = useCallback(async (id: number) => {\n setDetailLoading(true);\n try {\n const res = await fetch(`/api/analyses/${id}`);\n if (res.ok) {\n const data = await res.json();\n setCurrentAnalysis(data);\n }\n } catch (err) {\n console.error(\"Failed to fetch analysis:\", err);\n } finally {\n setDetailLoading(false);\n }\n }, []);\n\n useEffect(() => {\n if (view === \"history\") {\n fetchAnalyses();\n }\n }, [view, fetchAnalyses]);\n\n function handleSubmitted(id: number) {\n fetchAnalyses();\n fetchAnalysis(id);\n setView(\"detail\");\n }\n\n function handleSelect(id: number) {\n fetchAnalysis(id);\n setView(\"detail\");\n }\n\n async function handleDelete(id: number) {\n await fetch(`/api/analyses/${id}`, { method: \"DELETE\" });\n setCurrentAnalysis(null);\n fetchAnalyses();\n setView(\"history\");\n }\n\n const navButton = (target: View, label: string, icon: string) => (\n setView(target)}\n class={`px-4 py-2 rounded-lg font-medium text-sm transition-colors cursor-pointer ${\n view === target || (target === \"history\" && view === \"detail\")\n ? \"bg-indigo-600 text-white\"\n : \"text-gray-600 hover:bg-gray-200\"\n }`}\n >\n {icon} {label}\n \n );\n\n return (\n

\n {/* Header */}\n

\n 🥜 Granola Analyzer\n

\n \n

\n\n {/* Content */}\n {view === \"new\" && }\n {view === \"history\" && (\n setView(\"new\")}\n />\n )}\n {view === \"detail\" && (\n setView(\"history\")}\n onDelete={handleDelete}\n />\n )}\n\n {/* Footer */}\n

\n View source\n

\n );\n}\n",[],[182,275,285],"c52cc1cd-e091-4258-8609-1147fde2dd5f","AnalysisView.tsx","c2139496-840a-11f1-88f0-1607ee4eb77e",3,["D",1784531716526],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport type { Analysis } from \"../../lib/db.ts\";\n\ninterface AnalysisViewProps {\n analysis: Analysis | null;\n loading: boolean;\n onBack: () => void;\n onDelete: (id: number) => void;\n}\n\nconst sentimentConfig: Record = {\n positive: { emoji: \"😊\", color: \"bg-green-100 text-green-700\" },\n neutral: { emoji: \"😐\", color: \"bg-gray-100 text-gray-600\" },\n negative: { emoji: \"😟\", color: \"bg-red-100 text-red-700\" },\n mixed: { emoji: \"🤔\", color: \"bg-amber-100 text-amber-700\" },\n};\n\nconst priorityConfig: Record = {\n high: \"bg-red-100 text-red-700 border-red-200\",\n medium: \"bg-amber-100 text-amber-700 border-amber-200\",\n low: \"bg-blue-100 text-blue-700 border-blue-200\",\n};\n\nexport function AnalysisView({ analysis, loading, onBack, onDelete }: AnalysisViewProps) {\n if (loading) {\n return (\n

⏳

Loading analysis...

\n );\n }\n\n if (!analysis) {\n return (\n

Analysis not found.

\n \n

\n );\n }\n\n const { analysis: result, title, created_at, id } = analysis;\n const date = new Date(created_at + \"Z\").toLocaleString();\n\n return (\n

\n \n onDelete(id)}\n class=\"text-red-500 hover:text-red-700 text-sm cursor-pointer\"\n >\n 🗑 Delete\n \n

\n\n {/* Header */}\n

{title}

{date}

{result.summary}

\n {result.participants.length > 0 && (\n

\n {result.participants.map((p) => (\n \n 👤 {p}\n \n ))}\n

\n )}\n

\n\n {/* Topics */}\n

📂 Topics

\n {result.topics.map((topic, i) => {\n const sc = sentimentConfig[topic.sentiment] || sentimentConfig.neutral;\n return (\n

{topic.name}

\n \n {sc.emoji} {topic.sentiment}\n \n {topic.discussion_share}%\n

\n {/* Discussion share bar */}\n

\n \n

\n •\n {point}\n

\n );\n })}\n

\n\n {/* Action Items */}\n {result.action_items.length > 0 && (\n

✅ Action Items

\n {result.action_items.map((item, i) => (\n

\n \n {item.priority}\n \n

{item.task}

→ {item.assignee}

\n ))}\n

\n )}\n\n {/* Raw Transcript */}\n

\n 📄 View raw transcript\n

\n          {analysis.transcript}\n

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