📸 TranscribeThing

\n Upload an image to transcribe your notes to Markdown\n

{\n e.preventDefault();\n const files = Array.from(e.dataTransfer.files);\n if (files.length > 0) handleImageUpload(files);\n }}\n onDragOver={(e) => e.preventDefault()}\n onDragEnter={(e) => e.preventDefault()}\n contentEditable\n tabIndex={0}\n style={{\n border: images.length === 0 ? \"2px dashed #ccc\" : \"2px solid #007cba\",\n minHeight: \"200px\",\n display: \"flex\",\n justifyContent: \"center\",\n alignItems: \"center\",\n marginBottom: \"15px\",\n outline: \"none\",\n cursor: images.length === 0 ? \"pointer\" : \"default\",\n borderRadius: \"8px\",\n padding: \"20px\",\n backgroundColor: images.length === 0 ? \"#fafafa\" : \"#fff\",\n }}\n >\n {renderContent()}\n \n\n \n\n \n\n {/* Add new images button when we already have images */}\n {images.length > 0 && (\n

\n \n ➕ Add More Images\n \n \n 🔄 Start Over\n \n

\n )}\n\n {images.length === 0 && (\n \n 📂 Click to browse, paste from clipboard, or drag & drop images here\n \n )}\n\n {toastMessage && (\n \n {toastMessage}\n \n )}\n\n {/* Cached Transcriptions Section */}\n {cachedTranscriptions.length > 0 && (\n \n \n 📚 Recent Transcriptions\n \n \n {cachedTranscriptions.slice(0, 5).map((cached) => (\n \n \n

\n \n {new Date(cached.timestamp).toLocaleString()}\n

\n \n \n \n",[],[246,278],{"_107":286,"_100":287,"_154":288,"_156":247,"_157":138,"_158":185,"_160":161,"_109":289,"_104":31,"_163":194,"_165":290,"_166":27,"_167":-5,"_168":291,"_103":292},"d65fea32-52bd-11f0-943b-f69ea79377d9","index.tsx","abdbaf95-6df5-4f0f-b405-5dea79362b59",["D",1750963574666],"/** @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();",[],[246,287],[246],{"_107":295,"_100":296,"_154":297,"_156":-5,"_157":138,"_158":185,"_160":161,"_109":298,"_104":31,"_163":164,"_165":-5,"_166":27,"_167":-5,"_168":299,"_103":309},"d65ff3a6-52bd-11f0-943b-f69ea79377d9","shared","17dea820-a65a-4c8c-b069-82ff1dc0f6ef",["D",1750963574666],[300],{"_107":301,"_100":302,"_154":303,"_156":297,"_157":138,"_158":304,"_160":161,"_109":305,"_104":262,"_163":194,"_165":306,"_166":27,"_167":-5,"_168":307,"_103":308},"9d5385f0-55dd-11f0-bd93-f69ea79377d9","consts.ts","bb12adf2-7374-41eb-9dfc-c732dc02c1ee",154,["D",1751307076403],"export const API_URL = `https://apsv--7328fb29d6854d02b4dd2802d551cc33.web.val.run/api`;\nexport const CLI_URL = `https://esm.town/v/apsv/TranscribeThing/cli/cli.ts`;",[],[296,302],[296],{"_107":311,"_100":312,"_154":313,"_156":-5,"_157":138,"_158":314,"_160":161,"_109":315,"_104":31,"_163":164,"_165":-5,"_166":27,"_167":-5,"_168":316,"_103":335},"3a004c52-542c-11f0-b272-f69ea79377d9","test","3a004d2e-542c-11f0-b272-f69ea79377d9",5,["D",1751120937681],[317,326],{"_107":318,"_100":319,"_154":320,"_156":313,"_157":138,"_158":321,"_160":161,"_109":322,"_104":31,"_163":194,"_165":323,"_166":27,"_167":-5,"_168":324,"_103":325},"3a3c4612-542c-11f0-b272-f69ea79377d9","dev-server.ts","3a3c46ee-542c-11f0-b272-f69ea79377d9",10,["D",1751120937896],"#!/usr/bin/env -S deno run --allow-net --allow-read --allow-env\n\nimport { load } from \"https://deno.land/std@0.208.0/dotenv/mod.ts\";\nimport app from \"../backend/index.ts\";\n\n// Load environment variables from .env file\ntry {\n const env = await load();\n // Set loaded environment variables\n for (const [key, value] of Object.entries(env)) {\n Deno.env.set(key, value);\n }\n console.log(\"✅ Loaded environment variables from .env file\");\n} catch (error) {\n console.log(\"ℹ️ No .env file found or error loading it:\", error.message);\n console.log(\"ℹ️ Using system environment variables\");\n}\n\nconst port = parseInt(Deno.env.get(\"PORT\") || \"8000\");\n\nconsole.log(`🚀 Server starting on http://localhost:${port}`);\nconsole.log(`📝 API available at http://localhost:${port}/api`);\nconsole.log(`🖼️ Upload endpoint: http://localhost:${port}/api/transcribe`);\nconsole.log(\n `📊 Status endpoint: http://localhost:${port}/api/transcribe/status`\n);\n\nDeno.serve({ port }, app);\n",[],[312,319],{"_107":327,"_100":328,"_154":329,"_156":313,"_157":138,"_158":330,"_160":161,"_109":331,"_104":31,"_163":194,"_165":332,"_166":27,"_167":-5,"_168":333,"_103":334},"3a2cefbe-542c-11f0-9e96-f69ea79377d9","test-transcription.ts","3a2cf072-542c-11f0-9e96-f69ea79377d9",8,["D",1751120937893],"#!/usr/bin/env -S deno run --allow-net --allow-read --allow-env\n\nimport { load } from \"https://deno.land/std@0.208.0/dotenv/mod.ts\";\nimport { readFileContent } from \"../cli/utils.ts\";\n\n// Simple test script to verify the transcription API\nasync function testTranscriptionAPI() {\n // Load environment variables from .env file\n try {\n const env = await load();\n for (const [key, value] of Object.entries(env)) {\n Deno.env.set(key, value);\n }\n console.log(\"✅ Loaded environment variables from .env file\");\n } catch (_error) {\n console.log(\"ℹ️ No .env file found, using system environment variables\");\n }\n\n const baseUrl = \"http://localhost:8000\";\n console.log(\"🧪 Testing transcription API...\");\n\n const testImageData = await readFileContent(\n \"../../vulkan/lineart-examples/tmp/image.jpg\"\n );\n // Create form data\n const formData = new FormData();\n formData.append(\n \"file\",\n new File([testImageData], \"image.jpg\", { type: \"image/jpeg\" })\n );\n formData.append(\"filename\", \"image.jpg\");\n\n try {\n // 1. Submit transcription request\n console.log(\"📤 Submitting test image for transcription...\");\n const response = await fetch(`${baseUrl}/api/transcribe`, {\n method: \"POST\",\n body: formData,\n });\n\n if (!response.ok) {\n throw new Error(`HTTP ${response.status}: ${response.statusText}`);\n }\n\n const result = await response.json();\n console.log(\"✅ Transcription job started:\", result);\n const { url: imageUrl } = result;\n\n // 2. Poll for status\n console.log(\"⏱️ Polling for transcription status...\");\n let attempts = 0;\n const maxAttempts = 24; // 2 minutes max\n\n while (attempts < maxAttempts) {\n await new Promise((resolve) => setTimeout(resolve, 5000)); // Wait 5 seconds\n attempts++;\n\n const statusResponse = await fetch(\n `${baseUrl}/api/transcribe/status?url=${encodeURIComponent(imageUrl)}`\n );\n\n if (!statusResponse.ok) {\n throw new Error(`Status check failed: HTTP ${statusResponse.status}`);\n }\n\n const statusResult = await statusResponse.json();\n console.log(`📊 Status check ${attempts}:`, statusResult);\n\n if (statusResult.status === \"completed\") {\n console.log(\"🎉 Transcription completed successfully!\");\n if (statusResult.transcription) {\n console.log(\"📝 Result:\", statusResult.transcription);\n } else {\n console.log(\"📝 Result: Transcription completed but no text found.\");\n }\n return;\n } else if (statusResult.status === \"error\") {\n console.log(\"❌ Transcription failed\");\n if (statusResult.error) {\n console.log(\"❌ Error:\", statusResult.error);\n }\n return;\n }\n\n console.log(\n `⏳ Still processing... (attempt ${attempts}/${maxAttempts})`\n );\n }\n\n console.log(\"⚠️ Transcription timed out after 2 minutes\");\n } catch (error) {\n console.error(\"❌ Test failed:\", error.message);\n }\n}\n\nif (import.meta.main) {\n testTranscriptionAPI();\n}\n",[],[312,328],[312],{"_107":337,"_100":338,"_154":339,"_156":-5,"_157":138,"_158":262,"_160":161,"_109":340,"_104":31,"_163":176,"_165":341,"_166":27,"_167":-5,"_168":342,"_103":343},"b3b3ae54-52bf-11f0-9ef5-f69ea79377d9",".cursorrules","b3b3af58-52bf-11f0-9ef5-f69ea79377d9",["D",1750964375555],"You are an advanced assistant specialized in generating Val Town code.\n\n## Core Guidelines\n\n- Ask clarifying questions when requirements are ambiguous\n- Provide complete, functional solutions rather than skeleton implementations\n- Test your logic against edge cases before presenting the final solution\n- Ensure all code follows Val Town's specific platform requirements\n- If a section of code that you're working on is getting too complex, consider refactoring it into subcomponents\n\n## Code Standards\n\n- Generate code in TypeScript or TSX\n- Add appropriate TypeScript types and interfaces for all data structures\n- Prefer official SDKs or libraries than writing API calls directly\n- Ask the user to supply API or library documentation if you are at all unsure about it\n- **Never bake in secrets into the code** - always use environment variables\n- Include comments explaining complex logic (avoid commenting obvious operations)\n- Follow modern ES6+ conventions and functional programming practices if possible\n\n## Types of triggers\n\n### 1. HTTP Trigger\n\n- Create web APIs and endpoints\n- Handle HTTP requests and responses\n- Example structure:\n\n```ts\nexport default async function (req: Request) {\n return new Response(\"Hello World\");\n}\n```\n\nFiles that are HTTP triggers have http in their name like `foobar.http.tsx`\n\n### 2. Cron Triggers\n\n- Run on a schedule\n- Use cron expressions for timing\n- Example structure:\n\n```ts\nexport default async function () {\n // Scheduled task code\n}\n```\n\nFiles that are Cron triggers have cron in their name like `foobar.cron.tsx`\n\n### 3. Email Triggers\n\n- Process incoming emails\n- Handle email-based workflows\n- Example structure:\n\n```ts\nexport default async function (email: Email) {\n // Process email\n}\n```\n\nFiles that are Email triggers have email in their name like `foobar.email.tsx`\n\n\n## Val Town Standard Libraries\n\nVal Town provides several hosted services and utility functions.\n\n### Blob Storage\n\n```ts\nimport { blob } from \"https://esm.town/v/std/blob\";\nawait blob.setJSON(\"myKey\", { hello: \"world\" });\nlet blobDemo = await blob.getJSON(\"myKey\");\nlet appKeys = await blob.list(\"app_\");\nawait blob.delete(\"myKey\");\n```\n\n### SQLite\n\n```ts\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nconst TABLE_NAME = 'todo_app_users_2';\n// Create table - do this before usage and change table name when modifying schema\nawait sqlite.execute(`CREATE TABLE IF NOT EXISTS ${TABLE_NAME} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n name TEXT NOT NULL\n)`);\n// Query data\nconst result = await sqlite.execute(`SELECT * FROM ${TABLE_NAME} WHERE id = ?`, [1]);\n```\n\nNote: When changing a SQLite table's schema, change the table's name (e.g., add _2 or _3) to create a fresh table.\n\n### OpenAI\n\n```ts\nimport { OpenAI } from \"https://esm.town/v/std/openai\";\nconst openai = new OpenAI();\nconst completion = await openai.chat.completions.create({\n messages: [\n { role: \"user\", content: \"Say hello in a creative way\" },\n ],\n model: \"gpt-4o-mini\",\n max_tokens: 30,\n});\n```\n\n### Email\n\n```ts\nimport { email } from \"https://esm.town/v/std/email\";\n// By default emails the owner of the val\nawait email({ \n subject: \"Hi\", \n text: \"Hi\", \n html: \"

Hi

\"\n});\n```\n\n## Val Town Utility Functions\n\nVal Town provides several utility functions to help with common project tasks.\n\n### Importing Utilities\n\nAlways import utilities with version pins to avoid breaking changes:\n\n```ts\nimport { parseProject, readFile, serveFile } from \"https://esm.town/v/std/utils@85-main/index.ts\";\n```\n\n### Available Utilities\n\n\n#### **serveFile** - Serve project files with proper content types\n\nFor example, in Hono:\n\n```ts\n// serve all files in frontend/ and shared/\napp.get(\"/frontend/*\", c => serveFile(c.req.path, import.meta.url));\napp.get(\"/shared/*\", c => serveFile(c.req.path, import.meta.url));\n```\n\n#### **readFile** - Read files from within the project:\n\n```ts\n// Read a file from the project\nconst fileContent = await readFile(\"/frontend/index.html\", import.meta.url);\n```\n\n#### **listFiles** - List all files in the project\n\n```ts\nconst files = await listFiles(import.meta.url);\n```\n\n#### **parseProject** - Extract information about the current project from import.meta.url\n\nThis is useful for including info for linking back to a val, ie in \"view source\" urls:\n\n```ts\nconst projectVal = parseProject(import.meta.url);\nconsole.log(projectVal.username); // Owner of the project\nconsole.log(projectVal.name); // Project name\nconsole.log(projectVal.version); // Version number\nconsole.log(projectVal.branch); // Branch name\nconsole.log(projectVal.links.self.project); // URL to the project page\n```\n\nHowever, it's *extremely importing* to note that `parseProject` and other Standard Library utilities ONLY RUN ON THE SERVER.\nIf you need access to this data on the client, run it in the server and pass it to the client by splicing it into the HTML page\nor by making an API request for it.\n\n## Val Town Platform Specifics\n\n- **Redirects:** Use `return new Response(null, { status: 302, headers: { Location: \"/place/to/redirect\" }})` instead of `Response.redirect` which is broken\n- **Images:** Avoid external images or base64 images. Use emojis, unicode symbols, or icon fonts/libraries instead\n- **AI Image:** To inline generate an AI image use: `

`\n- **Storage:** DO NOT use the Deno KV module for storage\n- **Browser APIs:** DO NOT use the `alert()`, `prompt()`, or `confirm()` methods\n- **Weather Data:** Use open-meteo for weather data (doesn't require API keys) unless otherwise specified\n- **View Source:** Add a view source link by importing & using `import.meta.url.replace(\"ems.sh\", \"val.town)\"` (or passing this data to the client) and include `target=\"_top\"` attribute\n- **Error Debugging:** Add `` to HTML to capture client-side errors\n- **Error Handling:** Only use try...catch when there's a clear local resolution; Avoid catches that merely log or return 500s. Let errors bubble up with full context\n- **Environment Variables:** Use `Deno.env.get('keyname')` when you need to, but generally prefer APIs that don't require keys\n- **Imports:** Use `https://esm.sh` for npm and Deno dependencies to ensure compatibility on server and browser\n- **Storage Strategy:** Only use backend storage if explicitly required; prefer simple static client-side sites\n- **React Configuration:** When using React libraries, pin versions with `?deps=react@18.2.0,react-dom@18.2.0` and start the file with `/** @jsxImportSource https://esm.sh/react@18.2.0 */`\n- Ensure all React dependencies and sub-dependencies are pinned to the same version\n- **Styling:** Default to using TailwindCSS via `` unless otherwise specified\n\n## Project Structure and Design Patterns\n\n### Recommended Directory Structure\n```\n├── backend/\n│ ├── database/\n│ │ ├── migrations.ts # Schema definitions\n│ │ ├── queries.ts # DB query functions\n│ │ └── README.md\n│ └── routes/ # Route modules\n│ ├── [route].ts\n│ └── static.ts # Static file serving\n│ ├── index.ts # Main entry point\n│ └── README.md\n├── frontend/\n│ ├── components/\n│ │ ├── App.tsx\n│ │ └── [Component].tsx\n│ ├── favicon.svg\n│ ├── index.html # Main HTML template\n│ ├── index.tsx # Frontend JS entry point\n│ ├── README.md\n│ └── style.css\n├── README.md\n└── shared/\n ├── README.md\n └── utils.ts # Shared types and functions\n```\n\n### Backend (Hono) Best Practices\n\n- Hono is the recommended API framework\n- Main entry point should be `backend/index.ts`\n- **Static asset serving:** Use the utility functions to read and serve project files:\n ```ts\n import { readFile, serveFile } from \"https://esm.town/v/std/utils@85-main/index.ts\";\n \n // serve all files in frontend/ and shared/\n app.get(\"/frontend/*\", c => serveFile(c.req.path, import.meta.url));\n app.get(\"/shared/*\", c => serveFile(c.req.path, import.meta.url));\n \n // For index.html, often you'll want to bootstrap with initial data\n app.get(\"/\", async c => {\n let html = await readFile(\"/frontend/index.html\", import.meta.url);\n \n // Inject data to avoid extra round-trips\n const initialData = await fetchInitialData();\n const dataScript = ``;\n \n html = html.replace(\"\", `${dataScript}`);\n return c.html(html);\n });\n ```\n- Create RESTful API routes for CRUD operations\n- Always include this snippet at the top-level Hono app to re-throwing errors to see full stack traces:\n ```ts\n // Unwrap Hono errors to see original error details\n app.onError((err, c) => {\n throw err;\n });\n ```\n\n### Database Patterns\n- Run migrations on startup or comment out for performance\n- Change table names when modifying schemas rather than altering\n- Export clear query functions with proper TypeScript typing\n\n## Common Gotchas and Solutions\n\n1. **Environment Limitations:** \n - Val Town runs on Deno in a serverless context, not Node.js\n - Code in `shared/` must work in both frontend and backend environments\n - Cannot use `Deno` keyword in shared code\n - Use `https://esm.sh` for imports that work in both environments\n\n2. **SQLite Peculiarities:**\n - Limited support for ALTER TABLE operations\n - Create new tables with updated schemas and copy data when needed\n - Always run table creation before querying\n\n3. **React Configuration:**\n - All React dependencies must be pinned to 18.2.0\n - Always include `@jsxImportSource https://esm.sh/react@18.2.0` at the top of React files\n - Rendering issues often come from mismatched React versions\n\n4. **File Handling:**\n - Val Town only supports text files, not binary\n - Use the provided utilities to read files across branches and forks\n - For files in the project, use `readFile` helpers\n\n5. **API Design:**\n - `fetch` handler is the entry point for HTTP vals\n - Run the Hono app with `export default app.fetch // This is the entry point for HTTP vals`\n\n",[],[338],{"_107":345,"_100":346,"_154":347,"_156":-5,"_157":138,"_158":348,"_160":161,"_109":349,"_104":31,"_163":176,"_165":350,"_166":27,"_167":-5,"_168":351,"_103":352},"3a44bfb8-542c-11f0-abdf-f69ea79377d9",".env.example","3a44c08a-542c-11f0-abdf-f69ea79377d9",11,["D",1751120938128],"# Copy this to .env or export these variables\nBASE_URL=https://your-transcription-api.com\nTRANSCRIBE_PVID=your-policy-version-id\n\n# Example:\n# BASE_URL=https://api.example.com\n# TRANSCRIBE_PVID=pv_12345\n",[],[346],{"_107":354,"_100":355,"_154":356,"_156":-5,"_157":138,"_158":357,"_160":161,"_109":358,"_104":185,"_163":176,"_165":359,"_166":27,"_167":-5,"_168":360,"_103":361},"3a542d18-542c-11f0-a7bf-f69ea79377d9",".vtignore","3c29d817-d3b5-4b8a-924f-f2106046df54",12,["D",1751120938226],".git\n.DS_Store\nnode_modules\nvendor\n.env",[],[355],{"_107":363,"_100":364,"_154":365,"_156":-5,"_157":138,"_158":366,"_160":161,"_109":367,"_104":185,"_163":176,"_165":368,"_166":27,"_167":-5,"_168":369,"_103":370},"77a00e2e-5523-11f0-b6a4-f69ea79377d9","README.md","d47e44d5-2309-40b2-abf6-c2e151edaa41",77,["D",1751227126728],"# TranscribeThing\n\nAn image transcription tool that extracts text from images and converts it to Markdown format.\n\n## 📱 CLI Installation & Usage\n\nInstall the CLI tool for terminal-based transcription:\n\n```bash\ndeno install -grAf -n=tt https://raw.githubusercontent.com/your-username/FileDumpThing/main/cli/cli.ts\n```\n\n### CLI Commands\n\n```bash\n# Transcribe text from an image\ntt transcribe image.jpg\ntt t screenshot.png # Short alias\n\n# Show help\ntt help\n```\n",[],[364],{"_107":372,"_100":373,"_154":374,"_156":-5,"_157":138,"_158":375,"_160":161,"_109":376,"_104":159,"_163":176,"_165":377,"_166":27,"_167":-5,"_168":378,"_103":379},"77b31956-5523-11f0-bb8c-f69ea79377d9","deno.json","b2ab3ae1-6a76-451e-a298-f2fa99d1385b",78,["D",1751227126713],"{\n \"$schema\": \"https://raw.githubusercontent.com/denoland/deno/348900b8b79f4a434cab4c74b3bc8d4d2fa8ee74/cli/schemas/config-file.v1.json\",\n \"lock\": false,\n \"tasks\": {\n \"dev\": \"deno run --allow-net --allow-read --allow-write --allow-import --allow-env --watch test/dev-server.ts\",\n \"test\": \"deno run --allow-net --allow-read --allow-env test/test-transcription.ts\"\n },\n \"compilerOptions\": {\n \"noImplicitAny\": false,\n \"strict\": false,\n \"types\": [\n \"https://www.val.town/types/valtown.d.ts\"\n ],\n \"lib\": [\n \"dom\",\n \"dom.iterable\",\n \"dom.asynciterable\",\n \"deno.ns\",\n \"deno.unstable\"\n ]\n },\n \"lint\": {\n \"files\": {\n \"include\": [\n \"deno:/https/esm.town/**/*\"\n ]\n },\n \"rules\": {\n \"exclude\": [\n \"no-explicit-any\"\n ]\n }\n },\n \"node_modules_dir\": false,\n \"experimental\": {\n \"unstable-node-globals\": true,\n \"unstable-temporal\": true,\n \"unstable-worker-options\": true,\n \"unstable-sloppy-imports\": true\n }\n}",[],[373],"files",[151,170,181,188,198,210,216,224,234,244,250,256,266,276,285,294,300,310,317,326,336,344,353,362,371],"counts",{"_384":31,"_385":185,"_386":31,"_387":159},"pulls","branches","forks","envVars","contents",[390,393,396,399,402,405,408,411,414,417,420],{"_107":152,"_100":153,"_154":155,"_156":-5,"_157":138,"_158":159,"_160":161,"_109":391,"_104":31,"_163":164,"_165":-5,"_166":27,"_167":-5,"_103":392},["D",1750964375195],[153],{"_107":182,"_100":183,"_154":184,"_156":-5,"_157":138,"_158":185,"_160":161,"_109":394,"_104":31,"_163":164,"_165":-5,"_166":27,"_167":-5,"_103":395},["D",1750963574666],[183],{"_107":211,"_100":212,"_154":213,"_156":-5,"_157":138,"_158":185,"_160":161,"_109":397,"_104":31,"_163":164,"_165":-5,"_166":27,"_167":-5,"_103":398},["D",1750963574666],[212],{"_107":245,"_100":246,"_154":247,"_156":-5,"_157":138,"_158":185,"_160":161,"_109":400,"_104":31,"_163":164,"_165":-5,"_166":27,"_167":-5,"_103":401},["D",1750963574666],[246],{"_107":295,"_100":296,"_154":297,"_156":-5,"_157":138,"_158":185,"_160":161,"_109":403,"_104":31,"_163":164,"_165":-5,"_166":27,"_167":-5,"_103":404},["D",1750963574666],[296],{"_107":311,"_100":312,"_154":313,"_156":-5,"_157":138,"_158":314,"_160":161,"_109":406,"_104":31,"_163":164,"_165":-5,"_166":27,"_167":-5,"_103":407},["D",1751120937681],[312],{"_107":337,"_100":338,"_154":339,"_156":-5,"_157":138,"_158":262,"_160":161,"_109":409,"_104":31,"_163":176,"_165":341,"_166":27,"_167":-5,"_103":410},["D",1750964375555],[338],{"_107":345,"_100":346,"_154":347,"_156":-5,"_157":138,"_158":348,"_160":161,"_109":412,"_104":31,"_163":176,"_165":350,"_166":27,"_167":-5,"_103":413},["D",1751120938128],[346],{"_107":354,"_100":355,"_154":356,"_156":-5,"_157":138,"_158":357,"_160":161,"_109":415,"_104":185,"_163":176,"_165":359,"_166":27,"_167":-5,"_103":416},["D",1751120938226],[355],{"_107":363,"_100":364,"_154":365,"_156":-5,"_157":138,"_158":366,"_160":161,"_109":418,"_104":185,"_163":176,"_165":368,"_166":27,"_167":-5,"_103":419},["D",1751227126728],[364],{"_107":372,"_100":373,"_154":374,"_156":-5,"_157":138,"_158":375,"_160":161,"_109":421,"_104":159,"_163":176,"_165":377,"_166":27,"_167":-5,"_103":422},["D",1751227126713],[373],"upstreamProject",{"_107":425,"_100":426,"_115":427,"_116":-5,"_113":114,"_21":428},"416e1926-195b-11f0-a577-569c3dd06744","FileDumpThing","Share 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paste!",{"_98":429,"_133":430},"wolf","https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2ltYWdlcy5jbGVyay5kZXYvdXBsb2FkZWQvaW1nXzJvVXpPVUZRTjZGTGd2Q2t4c0RRdFpNZWJ5UCJ9","upstreamBranch",{"_107":141,"_109":433,"_434":435,"_100":42,"_139":425,"_104":143,"_140":-5,"_142":-5,"_436":437,"_111":-5,"_131":27,"_113":114,"_148":429,"_147":426},["D",1744654017891],"updatedAt",["D",1745810727713],"lockfileKey","1745814678951-esm.town_v_wolf_FileDumpThing@163-main","emptyEnvVars","isNew","routes/_app.x.$handle.$name.branch.$branch.history",{"_98":99,"_100":101,"_102":42,"_105":442,"_446":447,"_709":31,"_710":161},{"_107":108,"_100":101,"_109":443,"_111":-5,"_112":27,"_113":114,"_115":-5,"_116":-5,"_12":117,"_118":-5,"_119":27,"_120":-5,"_121":31,"_122":123,"_124":123,"_125":126,"_127":126,"_128":126,"_129":123,"_130":123,"_131":27,"_21":444,"_135":445},["D",1750963574666],{"_98":99,"_133":134},{"_104":137,"_100":42,"_107":138,"_139":108,"_140":141,"_142":143,"_144":114,"_145":146,"_147":101,"_148":99},"history",[448,453,462,471,479,487,496,501,506,511,520,527,535,545,554,562,570,575,584,593,602,611,620,629,638,647,656,665,674,683,691,700],{"_154":269,"_104":137,"_109":449,"_157":138,"_380":450},["D",1751315183150],[451],{"_107":267,"_157":138,"_154":269,"_100":268,"_165":272,"_163":194,"_104":271,"_156":253,"_109":449,"_158":137,"_167":-5,"_160":161,"_166":27,"_103":452},[246,252,268],{"_154":269,"_104":454,"_109":455,"_157":138,"_380":456},159,["D",1751315075224],[457],{"_107":458,"_157":138,"_154":269,"_100":268,"_165":459,"_163":194,"_104":460,"_156":253,"_109":455,"_158":454,"_167":-5,"_160":27,"_166":27,"_103":461},"3cff879a-55f0-11f0-8009-f69ea79377d9","/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport ReactHover, {\n Hover,\n Trigger,\n} from \"https://esm.sh/react-hover@3.0.1?deps=react@18.2.0,react-dom@18.2.0\";\nimport React, {\n useEffect,\n useRef,\n useState,\n} from \"https://esm.sh/react@18.2.0\";\nimport copy from \"https://esm.sh/copy-to-clipboard@3.3.3\";\nimport { CLI_URL } from \"../../shared/consts.ts\";\n\ntype ImageTranscription = {\n id: string;\n file: File;\n imageDataUrl: string;\n status: \"uploading\" | \"processing\" | \"completed\" | \"error\";\n imageUrl?: string;\n requestId?: string;\n transcription?: string;\n error?: string;\n};\n\ntype CachedTranscription = {\n id: string;\n timestamp: number;\n imageDataUrl: string;\n transcription: string;\n filename?: string;\n};\n\nconst transcriptionMessages = [\n \"🚀 Launching text extraction missiles...\",\n \"🔍 Squinting really hard...\",\n \"📖 Teaching AI to read bad handwriting...\",\n \"🧠 Convincing neurons that these are letters...\",\n \"✨ Sprinkling some OCR magic dust...\",\n \"🔬 Analyzing each squiggly line carefully...\",\n \"🎨 Magically guessing the formatting...\",\n \"🕵️ Enhancing...\",\n \"🎭 Translating hieroglyphics...\",\n \"🌟 Asking the text nicely to come out...\",\n];\n\nexport function ImageTranscriber() {\n const [images, setImages] = useState([]);\n const [currentImageIndex, setCurrentImageIndex] = useState(0);\n const [toastMessage, setToastMessage] = useState(\"\");\n const [currentMessageIndex, setCurrentMessageIndex] = useState(0);\n const [cachedTranscriptions, setCachedTranscriptions] = useState<\n CachedTranscription[]\n >([]);\n const pasteAreaRef = useRef(null);\n const _transcriptionRef = useRef(null);\n const fileInputRef = useRef(null);\n const cameraInputRef = useRef(null);\n\n // Hover options for CLI example\n const hoverOptions = {\n followCursor: false,\n shiftX: 0,\n shiftY: 10,\n };\n\n // Cache management functions\n const saveToCacheStorage = (transcription: CachedTranscription) => {\n try {\n const existing = JSON.parse(\n localStorage.getItem(\"transcriptionCache\") || \"[]\"\n );\n const updated = [transcription, ...existing.slice(0, 9)]; // Keep only 10 most recent\n localStorage.setItem(\"transcriptionCache\", JSON.stringify(updated));\n setCachedTranscriptions(updated);\n } catch (error) {\n console.warn(\"Failed to save to cache:\", error);\n }\n };\n\n const loadFromCacheStorage = () => {\n try {\n const cached = JSON.parse(\n localStorage.getItem(\"transcriptionCache\") || \"[]\"\n );\n setCachedTranscriptions(cached);\n } catch (error) {\n console.warn(\"Failed to load from cache:\", error);\n setCachedTranscriptions([]);\n }\n };\n\n const resetToUploadNew = () => {\n setImages([]);\n setCurrentImageIndex(0);\n };\n\n useEffect(() => {\n pasteAreaRef.current?.focus();\n loadFromCacheStorage();\n }, []);\n\n useEffect(() => {\n if (toastMessage) {\n const timer = setTimeout(() => setToastMessage(\"\"), 2000);\n return () => clearTimeout(timer);\n }\n }, [toastMessage]);\n\n // Rotate funny messages during processing\n useEffect(() => {\n const hasProcessingImages = images.some(\n (img) => img.status === \"processing\"\n );\n if (hasProcessingImages) {\n const interval = setInterval(() => {\n setCurrentMessageIndex(\n (prev) => (prev + 1) % transcriptionMessages.length\n );\n }, 5000); // Change message every 5 seconds\n return () => clearInterval(interval);\n } else {\n // Reset to first message when not processing\n setCurrentMessageIndex(0);\n }\n }, [images, transcriptionMessages.length]);\n\n // Poll for transcription status for all processing images\n useEffect(() => {\n const processingImages = images.filter(\n (img) => img.status === \"processing\" && img.imageUrl\n );\n\n if (processingImages.length === 0) return;\n\n const pollStatus = async () => {\n for (const image of processingImages) {\n try {\n const response = await fetch(\n `/api/transcribe/status?url=${encodeURIComponent(image.imageUrl!)}`\n );\n\n if (response.ok) {\n const result = await response.json();\n\n if (result.status === \"completed\") {\n const transcription =\n result.transcription || \"No text found in image\";\n\n setImages((prev) =>\n prev.map((img) =>\n img.id === image.id\n ? { ...img, status: \"completed\", transcription }\n : img\n )\n );\n\n // Save to cache\n const cachedItem: CachedTranscription = {\n id: crypto.randomUUID(),\n timestamp: Date.now(),\n imageDataUrl: image.imageDataUrl,\n transcription,\n filename: image.file.name,\n };\n saveToCacheStorage(cachedItem);\n } else if (result.status === \"error\") {\n setImages((prev) =>\n prev.map((img) =>\n img.id === image.id\n ? {\n ...img,\n status: \"error\",\n error: result.error || \"Transcription failed\",\n }\n : img\n )\n );\n }\n // If still processing, continue polling\n }\n } catch (_error) {\n setImages((prev) =>\n prev.map((img) =>\n img.id === image.id\n ? {\n ...img,\n status: \"error\",\n error: \"Failed to check transcription status\",\n }\n : img\n )\n );\n }\n }\n };\n\n const interval = setInterval(pollStatus, 3000); // Poll every 3 seconds\n return () => clearInterval(interval);\n }, [images]);\n\n const copyToClipboard = (text: string, message: string) => {\n const success = copy(text, {\n format: \"text/plain\",\n onCopy: () => {\n setToastMessage(message);\n },\n });\n\n if (!success) {\n setToastMessage(\"Copy failed\");\n }\n };\n\n const handleImageUpload = async (files: File[]) => {\n // Validate all files are images\n const imageFiles = files.filter((file) => file.type.startsWith(\"image/\"));\n if (imageFiles.length === 0) {\n setToastMessage(\"Please upload image files\");\n return;\n }\n\n if (imageFiles.length !== files.length) {\n setToastMessage(\n `${files.length - imageFiles.length} non-image files were skipped`\n );\n }\n\n // Create new image transcription objects\n const newImages: ImageTranscription[] = [];\n\n for (const file of imageFiles) {\n const imageId = crypto.randomUUID();\n\n // Create preview\n const reader = new FileReader();\n const imageDataUrl = await new Promise((resolve) => {\n reader.onloadend = () => resolve(reader.result as string);\n reader.readAsDataURL(file);\n });\n\n const imageTranscription: ImageTranscription = {\n id: imageId,\n file,\n imageDataUrl,\n status: \"uploading\",\n };\n\n newImages.push(imageTranscription);\n }\n\n // Add new images to state\n setImages((prev) => [...prev, ...newImages]);\n\n // Set current index to first new image if no images were present\n setCurrentImageIndex((prev) => (images.length === 0 ? 0 : prev));\n\n // Upload each image for transcription\n for (let i = 0; i < newImages.length; i++) {\n const image = newImages[i];\n const formData = new FormData();\n formData.append(\"file\", image.file);\n formData.append(\"filename\", image.file.name);\n\n try {\n const response = await fetch(\"/api/transcribe\", {\n method: \"POST\",\n body: formData,\n });\n\n if (response.ok) {\n const result = await response.json();\n setImages((prev) =>\n prev.map((img) =>\n img.id === image.id\n ? {\n ...img,\n status: \"processing\",\n imageUrl: result.url,\n requestId: result.requestId,\n }\n : img\n )\n );\n } else {\n const error = await response.json();\n setImages((prev) =>\n prev.map((img) =>\n img.id === image.id\n ? {\n ...img,\n status: \"error\",\n error: error.error || \"Upload failed\",\n }\n : img\n )\n );\n }\n } catch (_error) {\n setImages((prev) =>\n prev.map((img) =>\n img.id === image.id\n ? { ...img, status: \"error\", error: \"Failed to upload image\" }\n : img\n )\n );\n }\n }\n\n setToastMessage(\n `${imageFiles.length} image${\n imageFiles.length > 1 ? \"s\" : \"\"\n } uploaded! Processing transcriptions...`\n );\n };\n const handlePaste = (event: React.ClipboardEvent) => {\n event.preventDefault();\n\n // Check for images\n const files = Array.from(event.clipboardData?.items || [])\n .map((item) => item.getAsFile())\n .filter(\n (file): file is File => file !== null && file.type.startsWith(\"image/\")\n );\n\n if (files.length > 0) {\n handleImageUpload(files);\n return;\n }\n\n setToastMessage(\"Please paste or upload image files\");\n };\n\n const handleFileInput = (e: React.ChangeEvent) => {\n const files = Array.from(e.target.files || []);\n if (files.length > 0) handleImageUpload(files);\n };\n\n const openFileChooser = () => {\n fileInputRef.current?.click();\n };\n\n const openCamera = () => {\n cameraInputRef.current?.click();\n };\n\n const copyTranscription = () => {\n const currentImage = images[currentImageIndex];\n if (currentImage?.transcription) {\n copyToClipboard(currentImage.transcription, \"Transcription copied!\");\n }\n };\n\n const copyAllTranscriptions = () => {\n const completedTranscriptions = images\n .filter((img) => img.status === \"completed\" && img.transcription)\n .map(\n (img, index) =>\n `=== Image ${index + 1}: ${img.file.name} ===\\n${img.transcription}\\n`\n )\n .join(\"\\n\");\n\n if (completedTranscriptions) {\n copyToClipboard(completedTranscriptions, \"All transcriptions copied!\");\n } else {\n setToastMessage(\"No completed transcriptions to copy\");\n }\n };\n\n const goToPreviousImage = () => {\n setCurrentImageIndex((prev) => (prev > 0 ? prev - 1 : images.length - 1));\n };\n\n const goToNextImage = () => {\n setCurrentImageIndex((prev) => (prev < images.length - 1 ? prev + 1 : 0));\n };\n\n const copyCliCommands = () => {\n const commands = `deno install -grAf -n=tt ${CLI_URL}\ntt transcribe image.jpg`;\n copyToClipboard(commands, \"CLI commands copied!\");\n };\n\n const renderContent = () => {\n if (images.length === 0) {\n return (\n

\n 📸 Drop or paste images to transcribe text\n

\n );\n }\n\n const currentImage = images[currentImageIndex];\n if (!currentImage) return null;\n\n const renderImageControls = () => {\n if (images.length <= 1) return null;\n\n return (\n \n \n ← Previous\n \n \n {currentImageIndex + 1} of {images.length}\n \n \n Next →\n \n \n );\n };\n\n const renderImageStatus = () => {\n switch (currentImage.status) {\n case \"uploading\":\n return (\n

\n ⏳ Uploading image...\n

\n );\n\n case \"processing\":\n return (\n

\n \n \n \n \n

{transcriptionMessages[currentMessageIndex]}

\n \n This usually takes around 30 seconds\n

\n \n \n \n \n );\n\n case \"completed\":\n return (\n

\n \n \n {currentImage.file.name}\n

\n \n \n \n 📋 Copy This\n \n {images.filter((img) => img.status === \"completed\").length >\n 1 && (\n \n 📋 Copy All (\n {images.filter((img) => img.status === \"completed\").length})\n \n )}\n \n \n );\n\n case \"error\":\n return (\n

\n \n \n {currentImage.file.name}\n

\n ❌ {currentImage.error || \"Transcription failed\"}\n

\n {\n setImages((prev) =>\n prev.filter((img) => img.id !== currentImage.id)\n );\n setCurrentImageIndex((prev) =>\n Math.max(0, Math.min(prev, images.length - 2))\n );\n }}\n style={{\n marginTop: \"10px\",\n padding: \"8px 16px\",\n backgroundColor: \"#dc3545\",\n color: \"white\",\n border: \"none\",\n borderRadius: \"4px\",\n cursor: \"pointer\",\n fontSize: \"14px\",\n }}\n >\n ❌ Remove This Image\n \n \n );\n\n default:\n return null;\n }\n };\n\n return (\n

\n {renderImageControls()}\n {renderImageStatus()}\n

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

📸 TranscribeThing

\n Upload an image to transcribe your notes to Markdown\n

\n\n {\n e.preventDefault();\n const files = Array.from(e.dataTransfer.files);\n if (files.length > 0) handleImageUpload(files);\n }}\n onDragOver={(e) => e.preventDefault()}\n onDragEnter={(e) => e.preventDefault()}\n contentEditable\n tabIndex={0}\n style={{\n border: images.length === 0 ? \"2px dashed #ccc\" : \"2px solid #007cba\",\n minHeight: \"200px\",\n display: \"flex\",\n justifyContent: \"center\",\n alignItems: \"center\",\n marginBottom: \"15px\",\n outline: \"none\",\n cursor: images.length === 0 ? \"pointer\" : \"default\",\n borderRadius: \"8px\",\n padding: \"20px\",\n backgroundColor: images.length === 0 ? \"#fafafa\" : \"#fff\",\n }}\n >\n {renderContent()}\n \n\n \n\n \n\n {/* Add new images button when we already have images */}\n {images.length > 0 && (\n

\n \n ➕ Add More Images\n \n \n 📷 Take Photo\n \n \n 🔄 Start Over\n \n

\n \n {new Date(cached.timestamp).toLocaleString()}\n

\n 📸 Drop or paste images to transcribe text\n

\n ⏳ Uploading image...\n

\n );\n\n case \"processing\":\n return (\n

\n \n \n \n \n

{transcriptionMessages[currentMessageIndex]}

\n \n This usually takes around 30 seconds\n

\n \n \n \n \n );\n\n case \"completed\":\n return (\n

\n \n \n {currentImage.file.name}\n

\n ❌ {currentImage.error || \"Transcription failed\"}\n

\n {renderImageControls()}\n {renderImageStatus()}\n

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

📸 TranscribeThing

\n Upload an image to transcribe your notes to Markdown\n

\n \n ➕ Add More Images\n \n \n 📷 Take Photo\n \n \n 🔄 Start Over\n \n

\n )}\n\n {images.length === 0 && (\n \n 📂 Click to browse, paste from clipboard, or drag & drop images here\n \n )}\n\n {images.length === 0 && (\n

\n \n 📁 Browse Files\n \n \n 📷 Take Photo\n \n

\n )}\n\n {toastMessage && (\n \n {toastMessage}\n \n )}\n\n {/* Cached Transcriptions Section */}\n {cachedTranscriptions.length > 0 && (\n \n \n 📚 Recent Transcriptions\n \n \n {cachedTranscriptions.slice(0, 5).map((cached) => (\n \n \n

\n \n {new Date(cached.timestamp).toLocaleString()}\n

\n 📸 Drop or paste images to transcribe text\n

\n ⏳ Uploading image...\n

\n );\n\n case \"processing\":\n return (\n

\n \n \n \n \n

{transcriptionMessages[currentMessageIndex]}

\n \n This usually takes around 30 seconds\n

\n \n \n \n \n );\n\n case \"completed\":\n return (\n

\n \n \n {currentImage.file.name}\n

\n ❌ {currentImage.error || \"Transcription failed\"}\n

\n {renderImageControls()}\n {renderImageStatus()}\n

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

📸 TranscribeThing

\n Upload an image to transcribe your notes to Markdown\n

\n\n {\n e.preventDefault();\n const files = Array.from(e.dataTransfer.files);\n if (files.length > 0) handleImageUpload(files);\n }}\n onDragOver={(e) => e.preventDefault()}\n onDragEnter={(e) => e.preventDefault()}\n contentEditable\n tabIndex={0}\n style={{\n border: images.length === 0 ? \"2px dashed #ccc\" : \"2px solid #007cba\",\n minHeight: \"200px\",\n display: \"flex\",\n justifyContent: \"center\",\n alignItems: \"center\",\n marginBottom: \"15px\",\n outline: \"none\",\n cursor: images.length === 0 ? \"pointer\" : \"default\",\n borderRadius: \"8px\",\n padding: \"20px\",\n backgroundColor: images.length === 0 ? \"#fafafa\" : \"#fff\",\n }}\n >\n {renderContent()}\n \n\n \n\n {/* Add new images button when we already have images */}\n {images.length > 0 && (\n

\n \n ➕ Add More Images\n \n \n 🔄 Start Over\n \n

\n )}\n\n {images.length === 0 && (\n \n 📂 Click to browse, paste from clipboard, or drag & drop images here\n )}\n\n {toastMessage && (\n \n {toastMessage}\n \n )}\n\n {/* Cached Transcriptions Section */}\n {cachedTranscriptions.length > 0 && (\n \n \n 📚 Recent Transcriptions\n \n \n {cachedTranscriptions.slice(0, 5).map((cached) => (\n \n \n

\n \n {new Date(cached.timestamp).toLocaleString()}\n

\n \n {cached.transcription}\n \n \n copyToClipboard(\n cached.transcription,\n \"Cached transcription copied!\"\n )\n }\n style={{\n marginTop: \"8px\",\n padding: \"4px 8px\",\n backgroundColor: \"#6c757d\",\n color: \"white\",\n border: \"none\",\n borderRadius: \"3px\",\n cursor: \"pointer\",\n fontSize: \"12px\",\n }}\n >\n 📋 Copy\n \n \n \n ))}\n \n \n )}\n\n \n - or,\n \n \n \n use the CLI!\n \n \n \n \n {`# Install the CLI\n❯ deno install -grAf -n=tt \\\\\n https://esm.town/v/apsv/TranscribeThing/cli/cli.ts\n\n# Use it\n❯ tt transcribe image.jpg`}\n \n \n \n \n \n );\n}\n",82,[246,252,268],{"_154":303,"_104":304,"_109":497,"_157":138,"_380":498},["D",1751307076403],[499],{"_107":301,"_157":138,"_154":303,"_100":302,"_165":306,"_163":194,"_104":262,"_156":297,"_109":497,"_158":304,"_167":-5,"_160":161,"_166":27,"_103":500},[296,302],{"_154":191,"_104":192,"_109":502,"_157":138,"_380":503},["D",1751292964827],[504],{"_107":189,"_157":138,"_154":191,"_100":190,"_165":195,"_163":194,"_104":159,"_156":184,"_109":502,"_158":192,"_167":-5,"_160":161,"_166":27,"_103":505},[183,190],{"_154":201,"_104":202,"_109":507,"_157":138,"_380":508},["D",1751292960512],[509],{"_107":199,"_157":138,"_154":201,"_100":200,"_165":206,"_163":205,"_104":204,"_156":184,"_109":507,"_158":202,"_167":-5,"_160":161,"_166":27,"_103":510},[183,200],{"_154":512,"_104":513,"_109":514,"_157":138,"_380":515},"69a698f4-2d31-449b-865b-c6a6d18d4732",151,["D",1751292930231],[516],{"_107":517,"_157":138,"_154":512,"_100":236,"_165":518,"_163":194,"_104":262,"_156":297,"_109":514,"_158":513,"_167":-5,"_160":161,"_166":161,"_103":519},"ad8d705a-55bc-11f0-aebf-f69ea79377d9","\n/**\n * Determine if content is likely text by checking for null bytes\n * Simple and reliable approach to detect binary files\n */\nexport function isTextContent(buffer: Uint8Array): boolean {\n // Convert buffer to string and check for null bytes\n const str = new TextDecoder().decode(buffer);\n return !str.includes(\"\\0\");\n}",[296,236],{"_154":512,"_104":521,"_109":522,"_157":138,"_380":523},150,["D",1751292923525],[524],{"_107":525,"_157":138,"_154":512,"_100":236,"_165":518,"_163":194,"_104":159,"_156":297,"_109":522,"_158":521,"_167":-5,"_160":27,"_166":27,"_103":526},"a98e2ec2-55bc-11f0-a364-f69ea79377d9",[296,236],{"_154":512,"_104":528,"_109":529,"_157":138,"_380":530},149,["D",1751292921355],[531],{"_107":532,"_157":138,"_154":512,"_100":236,"_165":533,"_163":194,"_104":185,"_156":297,"_109":529,"_158":528,"_167":-5,"_160":27,"_166":27,"_103":534},"a842d14e-55bc-11f0-9127-f69ea79377d9","// Types for file dumper\nexport interface UploadResponse {\n url: string;\n}\n\n/**\n * Determine if content is likely text by checking for null bytes\n * Simple and reliable approach to detect binary files\n */\nexport function isTextContent(buffer: Uint8Array): boolean {\n // Convert buffer to string and check for null bytes\n const str = new TextDecoder().decode(buffer);\n return !str.includes(\"\\0\");\n}",[296,236],{"_154":536,"_104":537,"_109":538,"_157":138,"_380":539},"696b04ee-166c-459f-83fb-16d8f61d44ea",148,["D",1751292913479],[540],{"_107":541,"_157":138,"_154":536,"_100":542,"_165":543,"_163":194,"_104":185,"_156":297,"_109":538,"_158":537,"_167":-5,"_160":161,"_166":161,"_103":544},"a3977ba4-55bc-11f0-80bc-f69ea79377d9","mimetype.ts","// Mime type mapping for file extensions\nexport const mimeTypes: Record = {\n // Image formats\n 'jpg': 'image/jpeg',\n 'jpeg': 'image/jpeg',\n 'png': 'image/png',\n 'gif': 'image/gif',\n 'webp': 'image/webp',\n 'svg': 'image/svg+xml',\n 'bmp': 'image/bmp',\n 'ico': 'image/x-icon',\n // Text formats\n 'txt': 'text/plain',\n // Video formats\n 'mp4': 'video/mp4',\n 'webm': 'video/webm',\n 'mov': 'video/quicktime',\n 'avi': 'video/x-msvideo',\n 'mkv': 'video/x-matroska',\n 'm4v': 'video/mp4'\n};\n\n// Helper to get mime type from filename\nexport function getMimeType(fileName: string): string {\n const fileExtension = fileName.split('.').pop()?.toLowerCase() || '';\n return mimeTypes[fileExtension] || 'application/octet-stream';\n}\n\n// Get MIME type with special handling for video files\nexport function getContentTypeHeaders(key: string): Record {\n const fileExtension = key.split('.').pop()?.toLowerCase() || '';\n const mimeType = getMimeType(key);\n \n const headers: Record = {\n \"Content-Type\": mimeType,\n \"Cache-Control\": \"public, max-age=31536000, immutable\",\n \"X-Content-Type-Options\": \"nosniff\"\n };\n \n // For video files, explicitly set the correct MIME type\n if (fileExtension === 'mp4' || fileExtension === 'm4v') {\n headers[\"Content-Type\"] = \"video/mp4\";\n } else if (fileExtension === 'webm') {\n headers[\"Content-Type\"] = \"video/webm\";\n }\n \n return headers;\n}",[296,542],{"_154":201,"_104":546,"_109":547,"_157":138,"_380":548},147,["D",1751292913472],[549],{"_107":550,"_157":138,"_154":201,"_100":200,"_165":551,"_163":205,"_104":552,"_156":184,"_109":547,"_158":546,"_167":-5,"_160":27,"_166":27,"_103":553},"a390b404-55bc-11f0-971c-f69ea79377d9","import { blob } from \"https://esm.town/v/std/blob?v=13\";\nimport { serveFile } from \"https://esm.town/v/std/utils@85-main/index.ts\";\nimport { Hono } from \"npm:hono\";\nimport api from \"./api.ts\";\n\nconst app = new Hono();\n\napp\n .get(\"/\", () => {\n return serveFile(\"/frontend/index.html\", import.meta.url);\n })\n .get(\"/frontend/**/*\", (c) => serveFile(c.req.path, import.meta.url))\n .get(\"/shared/**/*\", (c) => serveFile(c.req.path, import.meta.url))\n .route(\"/api\", api)\n // Unwrap and rethrow Hono errors as the original error\n // If you delete this, all errors will be \"Internal Server Error\"\n .onError((err) => {\n throw err;\n });\n\n// HTTP vals expect an exported \"fetch handler\"\n// This is how you \"run the server\" in Val Town with Hono\nexport default app.fetch;\n",6,[183,200],{"_154":201,"_104":555,"_109":556,"_157":138,"_380":557},146,["D",1751292907745],[558],{"_107":559,"_157":138,"_154":201,"_100":200,"_165":560,"_163":205,"_104":314,"_156":184,"_109":556,"_158":555,"_167":-5,"_160":27,"_166":27,"_103":561},"a0265f58-55bc-11f0-a5ca-f69ea79377d9","import { blob } from \"https://esm.town/v/std/blob?v=13\";\nimport { serveFile } from \"https://esm.town/v/std/utils@85-main/index.ts\";\nimport { Hono } from \"npm:hono\";\nimport { getContentTypeHeaders } from \"../shared/mimetype.ts\";\nimport api from \"./api.ts\";\n\nconst app = new Hono();\n\napp\n .get(\"/\", () => {\n return serveFile(\"/frontend/index.html\", import.meta.url);\n })\n .get(\"/frontend/**/*\", (c) => serveFile(c.req.path, import.meta.url))\n .get(\"/shared/**/*\", (c) => serveFile(c.req.path, import.meta.url))\n .route(\"/api\", api)\n // Unwrap and rethrow Hono errors as the original error\n // If you delete this, all errors will be \"Internal Server Error\"\n .onError((err) => {\n throw err;\n });\n\n// HTTP vals expect an exported \"fetch handler\"\n// This is how you \"run the server\" in Val Town with Hono\nexport default app.fetch;\n",[183,200],{"_154":303,"_104":563,"_109":564,"_157":138,"_380":565},145,["D",1751292707273],[566],{"_107":567,"_157":138,"_154":303,"_100":302,"_165":568,"_163":194,"_104":159,"_156":297,"_109":564,"_158":563,"_167":-5,"_160":27,"_166":27,"_103":569},"28a92d02-55bc-11f0-9cca-f69ea79377d9","export const API_URL = `https://apsv--7328fb29d6854d02b4dd2802d551cc33.web.val.run/api`;\n",[296,302],{"_154":227,"_104":228,"_109":571,"_157":138,"_380":572},["D",1751292477463],[573],{"_107":225,"_157":138,"_154":227,"_100":226,"_165":231,"_163":194,"_104":230,"_156":213,"_109":571,"_158":228,"_167":-5,"_160":161,"_166":27,"_103":574},[212,226],{"_154":227,"_104":576,"_109":577,"_157":138,"_380":578},143,["D",1751292467051],[579],{"_107":580,"_157":138,"_154":227,"_100":226,"_165":581,"_163":194,"_104":582,"_156":213,"_109":577,"_158":576,"_167":-5,"_160":27,"_166":27,"_103":583},"9979f300-55bb-11f0-82d9-f69ea79377d9","import { readFileContent } from \"./utils.ts\";\nimport { API_URL } from \"../shared/consts.ts\";\n\ninterface TranscriptionResponse {\n url: string;\n requestId: string;\n transcription?: string;\n status?: \"processing\" | \"completed\" | \"error\";\n error?: string;\n}\n\n// Upload file for transcription\nexport async function transcribeImage(filePath: string): Promise {\n try {\n const buffer = await readFileContent(filePath);\n\n // Check if it's a valid image by basic file extension check\n const lowerPath = filePath.toLowerCase();\n const imageExtensions = [\".jpg\", \".jpeg\", \".png\", \".gif\", \".webp\", \".bmp\"];\n const isImage = imageExtensions.some((ext) => lowerPath.endsWith(ext));\n\n if (!isImage) {\n console.error(\n \"Error: File does not appear to be an image. Supported formats: jpg, jpeg, png, gif, webp, bmp\"\n );\n Deno.exit(1);\n }\n\n // Create FormData for the upload\n const formData = new FormData();\n const filename = filePath.split(\"/\").pop() || \"image\";\n\n const file = new File([buffer], filename, {\n type: \"image/jpeg\", // Default to jpeg, server will handle detection\n });\n\n formData.append(\"file\", file);\n formData.append(\"filename\", filename);\n formData.append(\"type\", \"transcribe\"); // New type for transcription\n\n // Upload to transcription endpoint\n const response = await fetch(`${API_URL}/transcribe`, {\n method: \"POST\",\n body: formData,\n });\n\n if (!response.ok) {\n const errorText = await response.text();\n console.error(`Error: Server returned ${response.status}`, errorText);\n Deno.exit(1);\n }\n\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"processing\") {\n console.log(\"Processing image for transcription...\");\n console.log(`Request ID: ${data.requestId}`);\n\n // Poll for completion\n await pollForTranscription(data.url);\n } else if (data.status === \"completed\") {\n console.log(\"=== Transcription Result ===\");\n console.log(`Transcription: ${data.transcription}`);\n } else {\n console.log(`Request ID: ${data.requestId}`);\n }\n } catch (e) {\n if (e instanceof Error) {\n console.error(\"Error:\", e.message);\n Deno.exit(1);\n }\n }\n}\n\n// Poll for transcription completion\nasync function pollForTranscription(imageUrl: string): Promise {\n const timeoutSeconds = 120 * 1000; // 120 seconds max\n const timeStep = 5000;\n let attempts = 0;\n\n while (attempts * timeStep < timeoutSeconds) {\n try {\n const response = await fetch(\n `${API_URL}/transcribe/status?url=${encodeURIComponent(imageUrl)}`\n );\n\n if (response.ok) {\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"completed\") {\n console.log(\"\\n=== Transcription Completed ===\");\n if (data.transcription) {\n console.log(`Transcription: ${data.transcription}`);\n } else {\n console.log(\"Transcription completed but no text found.\");\n }\n console.log(`Image URL: ${imageUrl}`);\n console.log(`Request ID: ${data.requestId}`);\n return;\n } else if (data.status === \"error\") {\n console.error(\"Transcription failed\");\n if (data.error) {\n console.error(\"Error:\", data.error);\n }\n return;\n }\n }\n\n await new Promise((resolve) => setTimeout(resolve, timeStep));\n attempts++;\n } catch (error) {\n console.error(\"Error checking transcription status:\", error.message);\n break;\n }\n }\n\n console.log(\"Transcription \");\n}\n",33,[212,226],{"_154":227,"_104":585,"_109":586,"_157":138,"_380":587},142,["D",1751292373571],[588],{"_107":589,"_157":138,"_154":227,"_100":226,"_165":590,"_163":194,"_104":591,"_156":213,"_109":586,"_158":585,"_167":-5,"_160":27,"_166":27,"_103":592},"61c22dd8-55bb-11f0-a17c-f69ea79377d9","import { readFileContent } from \"./utils.ts\";\nimport { API_URL } from \"../shared/consts.ts\";\n\ninterface TranscriptionResponse {\n url: string;\n requestId: string;\n transcription?: string;\n status?: \"processing\" | \"completed\" | \"error\";\n error?: string;\n}\n\n// Upload file for transcription\nexport async function transcribeImage(filePath: string): Promise {\n try {\n const buffer = await readFileContent(filePath);\n\n // Check if it's a valid image by basic file extension check\n const lowerPath = filePath.toLowerCase();\n const imageExtensions = [\".jpg\", \".jpeg\", \".png\", \".gif\", \".webp\", \".bmp\"];\n const isImage = imageExtensions.some((ext) => lowerPath.endsWith(ext));\n\n if (!isImage) {\n console.error(\n \"Error: File does not appear to be an image. Supported formats: jpg, jpeg, png, gif, webp, bmp\"\n );\n Deno.exit(1);\n }\n\n // Create FormData for the upload\n const formData = new FormData();\n const filename = filePath.split(\"/\").pop() || \"image\";\n\n const file = new File([buffer], filename, {\n type: \"image/jpeg\", // Default to jpeg, server will handle detection\n });\n\n formData.append(\"file\", file);\n formData.append(\"filename\", filename);\n formData.append(\"type\", \"transcribe\"); // New type for transcription\n\n // Upload to transcription endpoint\n const response = await fetch(`${API_URL}/transcribe`, {\n method: \"POST\",\n body: formData,\n });\n\n if (!response.ok) {\n const errorText = await response.text();\n console.error(`Error: Server returned ${response.status}`, errorText);\n Deno.exit(1);\n }\n\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"processing\") {\n console.log(\"Processing image for transcription...\");\n console.log(`Request ID: ${data.requestId}`);\n\n // Poll for completion\n await pollForTranscription(data.url);\n } else if (data.status === \"completed\") {\n console.log(\"=== Transcription Result ===\");\n console.log(`Transcription: ${data.transcription}`);\n console.log(`Request ID: ${data.requestId}`);\n } else {\n console.log(`Request ID: ${data.requestId}`);\n }\n } catch (e) {\n if (e instanceof Error) {\n console.error(\"Error:\", e.message);\n Deno.exit(1);\n }\n }\n}\n\n// Poll for transcription completion\nasync function pollForTranscription(imageUrl: string): Promise {\n const timeoutSeconds = 120 * 1000; // 120 seconds max\n const timeStep = 5000;\n let attempts = 0;\n\n while (attempts * timeStep < timeoutSeconds) {\n try {\n const response = await fetch(\n `${API_URL}/transcribe/status?url=${encodeURIComponent(imageUrl)}`\n );\n\n if (response.ok) {\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"completed\") {\n console.log(\"\\n=== Transcription Completed ===\");\n if (data.transcription) {\n console.log(`Transcription: ${data.transcription}`);\n } else {\n console.log(\"Transcription completed but no text found.\");\n }\n console.log(`Image URL: ${imageUrl}`);\n console.log(`Request ID: ${data.requestId}`);\n return;\n } else if (data.status === \"error\") {\n console.error(\"Transcription failed\");\n if (data.error) {\n console.error(\"Error:\", data.error);\n }\n return;\n }\n }\n\n await new Promise((resolve) => setTimeout(resolve, timeStep));\n attempts++;\n } catch (error) {\n console.error(\"Error checking transcription status:\", error.message);\n break;\n }\n }\n\n console.log(\"Transcription \");\n}\n",32,[212,226],{"_154":227,"_104":594,"_109":595,"_157":138,"_380":596},141,["D",1751292231012],[597],{"_107":598,"_157":138,"_154":227,"_100":226,"_165":599,"_163":194,"_104":600,"_156":213,"_109":595,"_158":594,"_167":-5,"_160":27,"_166":27,"_103":601},"0cc8e77c-55bb-11f0-8b32-f69ea79377d9","import { readFileContent } from \"./utils.ts\";\nimport { API_URL } from \"../shared/consts.ts\";\n\ninterface TranscriptionResponse {\n url: string;\n requestId: string;\n transcription?: string;\n status?: \"processing\" | \"completed\" | \"error\";\n error?: string;\n}\n\n// Upload file for transcription\nexport async function transcribeImage(filePath: string): Promise {\n try {\n const buffer = await readFileContent(filePath);\n\n // Check if it's a valid image by basic file extension check\n const lowerPath = filePath.toLowerCase();\n const imageExtensions = [\".jpg\", \".jpeg\", \".png\", \".gif\", \".webp\", \".bmp\"];\n const isImage = imageExtensions.some((ext) => lowerPath.endsWith(ext));\n\n if (!isImage) {\n console.error(\n \"Error: File does not appear to be an image. Supported formats: jpg, jpeg, png, gif, webp, bmp\"\n );\n Deno.exit(1);\n }\n\n // Create FormData for the upload\n const formData = new FormData();\n const filename = filePath.split(\"/\").pop() || \"image\";\n\n const file = new File([buffer], filename, {\n type: \"image/jpeg\", // Default to jpeg, server will handle detection\n });\n\n formData.append(\"file\", file);\n formData.append(\"filename\", filename);\n formData.append(\"type\", \"transcribe\"); // New type for transcription\n\n // Upload to transcription endpoint\n const response = await fetch(`${API_URL}/transcribe`, {\n method: \"POST\",\n body: formData,\n });\n\n if (!response.ok) {\n const errorText = await response.text();\n console.error(`Error: Server returned ${response.status}`, errorText);\n Deno.exit(1);\n }\n\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"processing\") {\n console.log(\"Processing image for transcription...\");\n console.log(`Request ID: ${data.requestId}`);\n\n // Poll for completion\n await pollForTranscription(data.url);\n } else if (data.transcription) {\n console.log(\"=== Transcription Result ===\");\n console.log(`Transcription: ${data.transcription}`);\n console.log(`Request ID: ${data.requestId}`);\n } else {\n console.log(`Request ID: ${data.requestId}`);\n }\n } catch (e) {\n if (e instanceof Error) {\n console.error(\"Error:\", e.message);\n Deno.exit(1);\n }\n }\n}\n\n// Poll for transcription completion\nasync function pollForTranscription(imageUrl: string): Promise {\n const timeoutSeconds = 120 * 1000; // 120 seconds max\n const timeStep = 5000;\n let attempts = 0;\n\n while (attempts * timeStep < timeoutSeconds) {\n try {\n const response = await fetch(\n `${API_URL}/transcribe/status?url=${encodeURIComponent(imageUrl)}`\n );\n\n if (response.ok) {\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"completed\") {\n console.log(\"\\n=== Transcription Completed ===\");\n if (data.transcription) {\n console.log(`Transcription: ${data.transcription}`);\n } else {\n console.log(\"Transcription completed but no text found.\");\n }\n console.log(`Image URL: ${imageUrl}`);\n console.log(`Request ID: ${data.requestId}`);\n return;\n } else if (data.status === \"error\") {\n console.error(\"Transcription failed\");\n if (data.error) {\n console.error(\"Error:\", data.error);\n }\n return;\n }\n }\n\n await new Promise((resolve) => setTimeout(resolve, timeStep));\n attempts++;\n } catch (error) {\n console.error(\"Error checking transcription status:\", error.message);\n break;\n }\n }\n\n console.log(\"Transcription \");\n}\n",31,[212,226],{"_154":227,"_104":603,"_109":604,"_157":138,"_380":605},140,["D",1751292228174],[606],{"_107":607,"_157":138,"_154":227,"_100":226,"_165":608,"_163":194,"_104":609,"_156":213,"_109":604,"_158":603,"_167":-5,"_160":27,"_166":27,"_103":610},"0b179a36-55bb-11f0-9895-f69ea79377d9","import { readFileContent } from \"./utils.ts\";\nimport { API_URL } from \"../shared/consts.ts\";\n\ninterface TranscriptionResponse {\n url: string;\n requestId: string;\n transcription?: string;\n status?: \"processing\" | \"completed\" | \"error\";\n error?: string;\n}\n\n// Upload file for transcription\nexport async function transcribeImage(filePath: string): Promise {\n try {\n const buffer = await readFileContent(filePath);\n\n // Check if it's a valid image by basic file extension check\n const lowerPath = filePath.toLowerCase();\n const imageExtensions = [\".jpg\", \".jpeg\", \".png\", \".gif\", \".webp\", \".bmp\"];\n const isImage = imageExtensions.some((ext) => lowerPath.endsWith(ext));\n\n if (!isImage) {\n console.error(\n \"Error: File does not appear to be an image. Supported formats: jpg, jpeg, png, gif, webp, bmp\"\n );\n Deno.exit(1);\n }\n\n // Create FormData for the upload\n const formData = new FormData();\n const filename = filePath.split(\"/\").pop() || \"image\";\n\n const file = new File([buffer], filename, {\n type: \"image/jpeg\", // Default to jpeg, server will handle detection\n });\n\n formData.append(\"file\", file);\n formData.append(\"filename\", filename);\n formData.append(\"type\", \"transcribe\"); // New type for transcription\n\n // Upload to transcription endpoint\n const response = await fetch(`${API_URL}/transcribe`, {\n method: \"POST\",\n body: formData,\n });\n\n if (!response.ok) {\n const errorText = await response.text();\n console.error(`Error: Server returned ${response.status}`, errorText);\n Deno.exit(1);\n }\n\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"processing\") {\n console.log(\"Processing image for transcription...\");\n console.log(`Request ID: ${data.requestId}`);\n\n // Poll for completion\n await pollForTranscription(data.url);\n } else if (data.transcription) {\n console.log(\"=== Transcription Result ===\");\n console.log(`Transcription: ${data.transcription}`);\n } else {\n console.log(`Request ID: ${data.requestId}`);\n }\n } catch (e) {\n if (e instanceof Error) {\n console.error(\"Error:\", e.message);\n Deno.exit(1);\n }\n }\n}\n\n// Poll for transcription completion\nasync function pollForTranscription(imageUrl: string): Promise {\n const timeoutSeconds = 120 * 1000; // 120 seconds max\n const timeStep = 5000;\n let attempts = 0;\n\n while (attempts * timeStep < timeoutSeconds) {\n try {\n const response = await fetch(\n `${API_URL}/transcribe/status?url=${encodeURIComponent(imageUrl)}`\n );\n\n if (response.ok) {\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"completed\") {\n console.log(\"\\n=== Transcription Completed ===\");\n if (data.transcription) {\n console.log(`Transcription: ${data.transcription}`);\n } else {\n console.log(\"Transcription completed but no text found.\");\n }\n console.log(`Image URL: ${imageUrl}`);\n console.log(`Request ID: ${data.requestId}`);\n return;\n } else if (data.status === \"error\") {\n console.error(\"Transcription failed\");\n if (data.error) {\n console.error(\"Error:\", data.error);\n }\n return;\n }\n }\n\n await new Promise((resolve) => setTimeout(resolve, timeStep));\n attempts++;\n } catch (error) {\n console.error(\"Error checking transcription status:\", error.message);\n break;\n }\n }\n\n console.log(\"Transcription \");\n}\n",30,[212,226],{"_154":227,"_104":612,"_109":613,"_157":138,"_380":614},139,["D",1751292218376],[615],{"_107":616,"_157":138,"_154":227,"_100":226,"_165":617,"_163":194,"_104":618,"_156":213,"_109":613,"_158":612,"_167":-5,"_160":27,"_166":27,"_103":619},"0541f354-55bb-11f0-a7a5-f69ea79377d9","import { readFileContent } from \"./utils.ts\";\nimport { API_URL } from \"../shared/consts.ts\";\n\ninterface TranscriptionResponse {\n url: string;\n requestId: string;\n transcription?: string;\n status?: \"processing\" | \"completed\" | \"error\";\n error?: string;\n}\n\n// Upload file for transcription\nexport async function transcribeImage(filePath: string): Promise {\n try {\n const buffer = await readFileContent(filePath);\n\n // Check if it's a valid image by basic file extension check\n const lowerPath = filePath.toLowerCase();\n const imageExtensions = [\".jpg\", \".jpeg\", \".png\", \".gif\", \".webp\", \".bmp\"];\n const isImage = imageExtensions.some((ext) => lowerPath.endsWith(ext));\n\n if (!isImage) {\n console.error(\n \"Error: File does not appear to be an image. Supported formats: jpg, jpeg, png, gif, webp, bmp\"\n );\n Deno.exit(1);\n }\n\n // Create FormData for the upload\n const formData = new FormData();\n const filename = filePath.split(\"/\").pop() || \"image\";\n\n const file = new File([buffer], filename, {\n type: \"image/jpeg\", // Default to jpeg, server will handle detection\n });\n\n formData.append(\"file\", file);\n formData.append(\"filename\", filename);\n formData.append(\"type\", \"transcribe\"); // New type for transcription\n\n // Upload to transcription endpoint\n const response = await fetch(`${API_URL}/transcribe`, {\n method: \"POST\",\n body: formData,\n });\n\n if (!response.ok) {\n const errorText = await response.text();\n console.error(`Error: Server returned ${response.status}`, errorText);\n Deno.exit(1);\n }\n\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"processing\") {\n console.log(\"Processing image for transcription...\");\n console.log(`Request ID: ${data.requestId}`);\n\n // Poll for completion\n await pollForTranscription(data.url);\n } else if (data.transcription) {\n console.log(\"=== Transcription Result ===\");\n console.log(`Transcription: ${data.transcription}`);\n console.log(`Request ID: ${data.requestId}`);\n } else {\n console.log(`Request ID: ${data.requestId}`);\n console.log(`Image URL: ${data.url}`);\n }\n } catch (e) {\n if (e instanceof Error) {\n console.error(\"Error:\", e.message);\n Deno.exit(1);\n }\n }\n}\n\n// Poll for transcription completion\nasync function pollForTranscription(imageUrl: string): Promise {\n const timeoutSeconds = 120 * 1000; // 120 seconds max\n const timeStep = 5000;\n let attempts = 0;\n\n while (attempts * timeStep < timeoutSeconds) {\n try {\n const response = await fetch(\n `${API_URL}/transcribe/status?url=${encodeURIComponent(imageUrl)}`\n );\n\n if (response.ok) {\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"completed\") {\n console.log(\"\\n=== Transcription Completed ===\");\n if (data.transcription) {\n console.log(`Transcription: ${data.transcription}`);\n } else {\n console.log(\"Transcription completed but no text found.\");\n }\n console.log(`Image URL: ${imageUrl}`);\n console.log(`Request ID: ${data.requestId}`);\n return;\n } else if (data.status === \"error\") {\n console.error(\"Transcription failed\");\n if (data.error) {\n console.error(\"Error:\", data.error);\n }\n return;\n }\n }\n\n await new Promise((resolve) => setTimeout(resolve, timeStep));\n attempts++;\n } catch (error) {\n console.error(\"Error checking transcription status:\", error.message);\n break;\n }\n }\n\n console.log(\"Transcription \");\n}\n",29,[212,226],{"_154":227,"_104":621,"_109":622,"_157":138,"_380":623},138,["D",1751292198489],[624],{"_107":625,"_157":138,"_154":227,"_100":226,"_165":626,"_163":194,"_104":627,"_156":213,"_109":622,"_158":621,"_167":-5,"_160":27,"_166":27,"_103":628},"f9669134-55ba-11f0-8c14-f69ea79377d9","import { readFileContent } from \"./utils.ts\";\nimport { API_URL } from \"../shared/consts.ts\";\n\ninterface TranscriptionResponse {\n url: string;\n requestId: string;\n transcription?: string;\n status?: \"processing\" | \"completed\" | \"error\";\n error?: string;\n}\n\n// Upload file for transcription\nexport async function transcribeImage(filePath: string): Promise {\n try {\n const buffer = await readFileContent(filePath);\n\n // Check if it's a valid image by basic file extension check\n const lowerPath = filePath.toLowerCase();\n const imageExtensions = [\".jpg\", \".jpeg\", \".png\", \".gif\", \".webp\", \".bmp\"];\n const isImage = imageExtensions.some((ext) => lowerPath.endsWith(ext));\n\n if (!isImage) {\n console.error(\n \"Error: File does not appear to be an image. Supported formats: jpg, jpeg, png, gif, webp, bmp\"\n );\n Deno.exit(1);\n }\n\n // Create FormData for the upload\n const formData = new FormData();\n const filename = filePath.split(\"/\").pop() || \"image\";\n\n const file = new File([buffer], filename, {\n type: \"image/jpeg\", // Default to jpeg, server will handle detection\n });\n\n formData.append(\"file\", file);\n formData.append(\"filename\", filename);\n formData.append(\"type\", \"transcribe\"); // New type for transcription\n\n // Upload to transcription endpoint\n const response = await fetch(`${API_URL}/transcribe`, {\n method: \"POST\",\n body: formData,\n });\n\n if (!response.ok) {\n const errorText = await response.text();\n console.error(`Error: Server returned ${response.status}`, errorText);\n Deno.exit(1);\n }\n\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"processing\") {\n console.log(\"Processing image for transcription...\");\n console.log(`Request ID: ${data.requestId}`);\n\n // Poll for completion\n await pollForTranscription(data.url);\n } else if (data.transcription) {\n console.log(\"=== Transcription Result ===\");\n console.log(`Transcription: ${data.transcription}`);\n console.log(`Image URL: ${data.url}`);\n console.log(`Request ID: ${data.requestId}`);\n } else {\n console.log(`Request ID: ${data.requestId}`);\n console.log(`Image URL: ${data.url}`);\n }\n } catch (e) {\n if (e instanceof Error) {\n console.error(\"Error:\", e.message);\n Deno.exit(1);\n }\n }\n}\n\n// Poll for transcription completion\nasync function pollForTranscription(imageUrl: string): Promise {\n const timeoutSeconds = 120 * 1000; // 120 seconds max\n const timeStep = 5000;\n let attempts = 0;\n\n while (attempts * timeStep < timeoutSeconds) {\n try {\n const response = await fetch(\n `${API_URL}/transcribe/status?url=${encodeURIComponent(imageUrl)}`\n );\n\n if (response.ok) {\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"completed\") {\n console.log(\"\\n=== Transcription Completed ===\");\n if (data.transcription) {\n console.log(`Transcription: ${data.transcription}`);\n } else {\n console.log(\"Transcription completed but no text found.\");\n }\n console.log(`Image URL: ${imageUrl}`);\n console.log(`Request ID: ${data.requestId}`);\n return;\n } else if (data.status === \"error\") {\n console.error(\"Transcription failed\");\n if (data.error) {\n console.error(\"Error:\", data.error);\n }\n return;\n }\n }\n\n await new Promise((resolve) => setTimeout(resolve, timeStep));\n attempts++;\n } catch (error) {\n console.error(\"Error checking transcription status:\", error.message);\n break;\n }\n }\n\n console.log(\"Transcription \");\n}\n",28,[212,226],{"_154":227,"_104":630,"_109":631,"_157":138,"_380":632},137,["D",1751292143871],[633],{"_107":634,"_157":138,"_154":227,"_100":226,"_165":635,"_163":194,"_104":636,"_156":213,"_109":631,"_158":630,"_167":-5,"_160":27,"_166":27,"_103":637},"d8d86244-55ba-11f0-a7a5-f69ea79377d9","import { readFileContent } from \"./utils.ts\";\nimport { API_URL } from \"../shared/consts.ts\";\n\ninterface TranscriptionResponse {\n url: string;\n requestId: string;\n transcription?: string;\n status?: \"processing\" | \"completed\" | \"error\";\n error?: string;\n}\n\n// Upload file for transcription\nexport async function transcribeImage(filePath: string): Promise {\n try {\n const buffer = await readFileContent(filePath);\n\n // Check if it's a valid image by basic file extension check\n const lowerPath = filePath.toLowerCase();\n const imageExtensions = [\".jpg\", \".jpeg\", \".png\", \".gif\", \".webp\", \".bmp\"];\n const isImage = imageExtensions.some((ext) => lowerPath.endsWith(ext));\n\n if (!isImage) {\n console.error(\n \"Error: File does not appear to be an image. Supported formats: jpg, jpeg, png, gif, webp, bmp\"\n );\n Deno.exit(1);\n }\n\n // Create FormData for the upload\n const formData = new FormData();\n const filename = filePath.split(\"/\").pop() || \"image\";\n\n const file = new File([buffer], filename, {\n type: \"image/jpeg\", // Default to jpeg, server will handle detection\n });\n\n formData.append(\"file\", file);\n formData.append(\"filename\", filename);\n formData.append(\"type\", \"transcribe\"); // New type for transcription\n\n // Upload to transcription endpoint\n const response = await fetch(`${API_URL}/transcribe`, {\n method: \"POST\",\n body: formData,\n });\n\n if (!response.ok) {\n const errorText = await response.text();\n console.error(`Error: Server returned ${response.status}`, errorText);\n Deno.exit(1);\n }\n\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"processing\") {\n console.log(\"Processing image for transcription...\");\n console.log(`Request ID: ${data.requestId}`);\n console.log(`Image URL: ${data.url}`);\n\n // Poll for completion\n await pollForTranscription(data.url);\n } else if (data.transcription) {\n console.log(\"=== Transcription Result ===\");\n console.log(`Transcription: ${data.transcription}`);\n console.log(`Image URL: ${data.url}`);\n console.log(`Request ID: ${data.requestId}`);\n } else {\n console.log(`Request ID: ${data.requestId}`);\n console.log(`Image URL: ${data.url}`);\n }\n } catch (e) {\n if (e instanceof Error) {\n console.error(\"Error:\", e.message);\n Deno.exit(1);\n }\n }\n}\n\n// Poll for transcription completion\nasync function pollForTranscription(imageUrl: string): Promise {\n const timeoutSeconds = 120 * 1000; // 120 seconds max\n const timeStep = 5000;\n let attempts = 0;\n\n while (attempts * timeStep < timeoutSeconds) {\n try {\n const response = await fetch(\n `${API_URL}/transcribe/status?url=${encodeURIComponent(imageUrl)}`\n );\n\n if (response.ok) {\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"completed\") {\n console.log(\"\\n=== Transcription Completed ===\");\n if (data.transcription) {\n console.log(`Transcription: ${data.transcription}`);\n } else {\n console.log(\"Transcription completed but no text found.\");\n }\n console.log(`Image URL: ${imageUrl}`);\n console.log(`Request ID: ${data.requestId}`);\n return;\n } else if (data.status === \"error\") {\n console.error(\"Transcription failed\");\n if (data.error) {\n console.error(\"Error:\", data.error);\n }\n return;\n }\n }\n\n await new Promise((resolve) => setTimeout(resolve, timeStep));\n attempts++;\n } catch (error) {\n console.error(\"Error checking transcription status:\", error.message);\n break;\n }\n }\n\n console.log(\"Transcription \");\n}\n",27,[212,226],{"_154":227,"_104":639,"_109":640,"_157":138,"_380":641},136,["D",1751292139503],[642],{"_107":643,"_157":138,"_154":227,"_100":226,"_165":644,"_163":194,"_104":645,"_156":213,"_109":640,"_158":639,"_167":-5,"_160":27,"_166":27,"_103":646},"d63e1600-55ba-11f0-a85c-f69ea79377d9","import { readFileContent } from \"./utils.ts\";\nimport { API_URL } from \"../shared/consts.ts\";\n\ninterface TranscriptionResponse {\n url: string;\n requestId: string;\n transcription?: string;\n status?: \"processing\" | \"completed\" | \"error\";\n error?: string;\n}\n\n// Upload file for transcription\nexport async function transcribeImage(filePath: string): Promise {\n try {\n const buffer = await readFileContent(filePath);\n\n // Check if it's a valid image by basic file extension check\n const lowerPath = filePath.toLowerCase();\n const imageExtensions = [\".jpg\", \".jpeg\", \".png\", \".gif\", \".webp\", \".bmp\"];\n const isImage = imageExtensions.some((ext) => lowerPath.endsWith(ext));\n\n if (!isImage) {\n console.error(\n \"Error: File does not appear to be an image. Supported formats: jpg, jpeg, png, gif, webp, bmp\"\n );\n Deno.exit(1);\n }\n\n // Create FormData for the upload\n const formData = new FormData();\n const filename = filePath.split(\"/\").pop() || \"image\";\n\n const file = new File([buffer], filename, {\n type: \"image/jpeg\", // Default to jpeg, server will handle detection\n });\n\n formData.append(\"file\", file);\n formData.append(\"filename\", filename);\n formData.append(\"type\", \"transcribe\"); // New type for transcription\n\n // Upload to transcription endpoint\n const response = await fetch(`${API_URL}/transcribe`, {\n method: \"POST\",\n body: formData,\n });\n\n if (!response.ok) {\n const errorText = await response.text();\n console.error(`Error: Server returned ${response.status}`, errorText);\n Deno.exit(1);\n }\n\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"processing\") {\n console.log(\"Processing image for transcription...\");\n console.log(`Request ID: ${data.requestId}`);\n console.log(`Image URL: ${data.url}`);\n\n // Poll for completion\n await pollForTranscription(data.url);\n } else if (data.transcription) {\n console.log(\"=== Transcription Result ===\");\n console.log(`Transcription: ${data.transcription}`);\n console.log(`Image URL: ${data.url}`);\n console.log(`Request ID: ${data.requestId}`);\n } else {\n console.log(`Request ID: ${data.requestId}`);\n console.log(`Image URL: ${data.url}`);\n }\n } catch (e) {\n if (e instanceof Error) {\n console.error(\"Error:\", e.message);\n Deno.exit(1);\n }\n }\n}\n\n// Poll for transcription completion\nasync function pollForTranscription(imageUrl: string): Promise {\n const timeoutSeconds = 120 * 1000; // 120 seconds max\n const timeStep = 5000;\n let attempts = 0;\n\n while (attempts * timeStep < timeoutSeconds) {\n try {\n const response = await fetch(\n `${API_URL}/transcribe/status?url=${encodeURIComponent(imageUrl)}`\n );\n\n if (response.ok) {\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"completed\") {\n console.log(\"\\n=== Transcription Completed ===\");\n if (data.transcription) {\n console.log(`Transcription: ${data.transcription}`);\n } else {\n console.log(\"Transcription completed but no text found.\");\n }\n console.log(`Image URL: ${imageUrl}`);\n console.log(`Request ID: ${data.requestId}`);\n return;\n } else if (data.status === \"error\") {\n console.error(\"Transcription failed\");\n if (data.error) {\n console.error(\"Error:\", data.error);\n }\n return;\n }\n }\n\n // Wait 1 second before next attempt\n await new Promise((resolve) => setTimeout(resolve, timeStep));\n attempts++;\n } catch (error) {\n console.error(\"Error checking transcription status:\", error.message);\n break;\n }\n }\n\n console.log(\"Transcription \")\n}\n",26,[212,226],{"_154":227,"_104":648,"_109":649,"_157":138,"_380":650},135,["D",1751292137322],[651],{"_107":652,"_157":138,"_154":227,"_100":226,"_165":653,"_163":194,"_104":654,"_156":213,"_109":649,"_158":648,"_167":-5,"_160":27,"_166":27,"_103":655},"d4f1344e-55ba-11f0-9e0d-f69ea79377d9","import { readFileContent } from \"./utils.ts\";\nimport { API_URL } from \"../shared/consts.ts\";\n\ninterface TranscriptionResponse {\n url: string;\n requestId: string;\n transcription?: string;\n status?: \"processing\" | \"completed\" | \"error\";\n error?: string;\n}\n\n// Upload file for transcription\nexport async function transcribeImage(filePath: string): Promise {\n try {\n const buffer = await readFileContent(filePath);\n\n // Check if it's a valid image by basic file extension check\n const lowerPath = filePath.toLowerCase();\n const imageExtensions = [\".jpg\", \".jpeg\", \".png\", \".gif\", \".webp\", \".bmp\"];\n const isImage = imageExtensions.some((ext) => lowerPath.endsWith(ext));\n\n if (!isImage) {\n console.error(\n \"Error: File does not appear to be an image. Supported formats: jpg, jpeg, png, gif, webp, bmp\"\n );\n Deno.exit(1);\n }\n\n // Create FormData for the upload\n const formData = new FormData();\n const filename = filePath.split(\"/\").pop() || \"image\";\n\n const file = new File([buffer], filename, {\n type: \"image/jpeg\", // Default to jpeg, server will handle detection\n });\n\n formData.append(\"file\", file);\n formData.append(\"filename\", filename);\n formData.append(\"type\", \"transcribe\"); // New type for transcription\n\n // Upload to transcription endpoint\n const response = await fetch(`${API_URL}/transcribe`, {\n method: \"POST\",\n body: formData,\n });\n\n if (!response.ok) {\n const errorText = await response.text();\n console.error(`Error: Server returned ${response.status}`, errorText);\n Deno.exit(1);\n }\n\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"processing\") {\n console.log(\"Processing image for transcription...\");\n console.log(`Request ID: ${data.requestId}`);\n console.log(`Image URL: ${data.url}`);\n\n // Poll for completion\n await pollForTranscription(data.url);\n } else if (data.transcription) {\n console.log(\"=== Transcription Result ===\");\n console.log(`Transcription: ${data.transcription}`);\n console.log(`Image URL: ${data.url}`);\n console.log(`Request ID: ${data.requestId}`);\n } else {\n console.log(`Request ID: ${data.requestId}`);\n console.log(`Image URL: ${data.url}`);\n }\n } catch (e) {\n if (e instanceof Error) {\n console.error(\"Error:\", e.message);\n Deno.exit(1);\n }\n }\n}\n\n// Poll for transcription completion\nasync function pollForTranscription(imageUrl: string): Promise {\n const timeoutSeconds = 120 * 1000; // 120 seconds max\n const timeStep = 5000;\n let attempts = 0;\n\n while (attempts * timeStep < maxAttempts) {\n try {\n const response = await fetch(\n `${API_URL}/transcribe/status?url=${encodeURIComponent(imageUrl)}`\n );\n\n if (response.ok) {\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"completed\") {\n console.log(\"\\n=== Transcription Completed ===\");\n if (data.transcription) {\n console.log(`Transcription: ${data.transcription}`);\n } else {\n console.log(\"Transcription completed but no text found.\");\n }\n console.log(`Image URL: ${imageUrl}`);\n console.log(`Request ID: ${data.requestId}`);\n return;\n } else if (data.status === \"error\") {\n console.error(\"Transcription failed\");\n if (data.error) {\n console.error(\"Error:\", data.error);\n }\n return;\n }\n }\n\n // Wait 1 second before next attempt\n await new Promise((resolve) => setTimeout(resolve, timeStep));\n attempts++;\n } catch (error) {\n console.error(\"Error checking transcription status:\", error.message);\n break;\n }\n }\n\n console.log(\"Transcription \")\n}\n",25,[212,226],{"_154":227,"_104":657,"_109":658,"_157":138,"_380":659},134,["D",1751292135062],[660],{"_107":661,"_157":138,"_154":227,"_100":226,"_165":662,"_163":194,"_104":663,"_156":213,"_109":658,"_158":657,"_167":-5,"_160":27,"_166":27,"_103":664},"d3980758-55ba-11f0-8b9e-f69ea79377d9","import { readFileContent } from \"./utils.ts\";\nimport { API_URL } from \"../shared/consts.ts\";\n\ninterface TranscriptionResponse {\n url: string;\n requestId: string;\n transcription?: string;\n status?: \"processing\" | \"completed\" | \"error\";\n error?: string;\n}\n\n// Upload file for transcription\nexport async function transcribeImage(filePath: string): Promise {\n try {\n const buffer = await readFileContent(filePath);\n\n // Check if it's a valid image by basic file extension check\n const lowerPath = filePath.toLowerCase();\n const imageExtensions = [\".jpg\", \".jpeg\", \".png\", \".gif\", \".webp\", \".bmp\"];\n const isImage = imageExtensions.some((ext) => lowerPath.endsWith(ext));\n\n if (!isImage) {\n console.error(\n \"Error: File does not appear to be an image. Supported formats: jpg, jpeg, png, gif, webp, bmp\"\n );\n Deno.exit(1);\n }\n\n // Create FormData for the upload\n const formData = new FormData();\n const filename = filePath.split(\"/\").pop() || \"image\";\n\n const file = new File([buffer], filename, {\n type: \"image/jpeg\", // Default to jpeg, server will handle detection\n });\n\n formData.append(\"file\", file);\n formData.append(\"filename\", filename);\n formData.append(\"type\", \"transcribe\"); // New type for transcription\n\n // Upload to transcription endpoint\n const response = await fetch(`${API_URL}/transcribe`, {\n method: \"POST\",\n body: formData,\n });\n\n if (!response.ok) {\n const errorText = await response.text();\n console.error(`Error: Server returned ${response.status}`, errorText);\n Deno.exit(1);\n }\n\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"processing\") {\n console.log(\"Processing image for transcription...\");\n console.log(`Request ID: ${data.requestId}`);\n console.log(`Image URL: ${data.url}`);\n\n // Poll for completion\n await pollForTranscription(data.url);\n } else if (data.transcription) {\n console.log(\"=== Transcription Result ===\");\n console.log(`Transcription: ${data.transcription}`);\n console.log(`Image URL: ${data.url}`);\n console.log(`Request ID: ${data.requestId}`);\n } else {\n console.log(`Request ID: ${data.requestId}`);\n console.log(`Image URL: ${data.url}`);\n }\n } catch (e) {\n if (e instanceof Error) {\n console.error(\"Error:\", e.message);\n Deno.exit(1);\n }\n }\n}\n\n// Poll for transcription completion\nasync function pollForTranscription(imageUrl: string): Promise {\n const timeoutSeconds = 120 * 1000; // 120 seconds max\n const timeStep = 5000;\n let attempts = 0;\n\n while (attempts * < maxAttempts) {\n try {\n const response = await fetch(\n `${API_URL}/transcribe/status?url=${encodeURIComponent(imageUrl)}`\n );\n\n if (response.ok) {\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"completed\") {\n console.log(\"\\n=== Transcription Completed ===\");\n if (data.transcription) {\n console.log(`Transcription: ${data.transcription}`);\n } else {\n console.log(\"Transcription completed but no text found.\");\n }\n console.log(`Image URL: ${imageUrl}`);\n console.log(`Request ID: ${data.requestId}`);\n return;\n } else if (data.status === \"error\") {\n console.error(\"Transcription failed\");\n if (data.error) {\n console.error(\"Error:\", data.error);\n }\n return;\n }\n }\n\n // Wait 1 second before next attempt\n await new Promise((resolve) => setTimeout(resolve, timeStep));\n attempts++;\n } catch (error) {\n console.error(\"Error checking transcription status:\", error.message);\n break;\n }\n }\n\n console.log(\"Transcription \")\n}\n",24,[212,226],{"_154":227,"_104":666,"_109":667,"_157":138,"_380":668},133,["D",1751292132344],[669],{"_107":670,"_157":138,"_154":227,"_100":226,"_165":671,"_163":194,"_104":672,"_156":213,"_109":667,"_158":666,"_167":-5,"_160":27,"_166":27,"_103":673},"d1f96892-55ba-11f0-89b0-f69ea79377d9","import { readFileContent } from \"./utils.ts\";\nimport { API_URL } from \"../shared/consts.ts\";\n\ninterface TranscriptionResponse {\n url: string;\n requestId: string;\n transcription?: string;\n status?: \"processing\" | \"completed\" | \"error\";\n error?: string;\n}\n\n// Upload file for transcription\nexport async function transcribeImage(filePath: string): Promise {\n try {\n const buffer = await readFileContent(filePath);\n\n // Check if it's a valid image by basic file extension check\n const lowerPath = filePath.toLowerCase();\n const imageExtensions = [\".jpg\", \".jpeg\", \".png\", \".gif\", \".webp\", \".bmp\"];\n const isImage = imageExtensions.some((ext) => lowerPath.endsWith(ext));\n\n if (!isImage) {\n console.error(\n \"Error: File does not appear to be an image. Supported formats: jpg, jpeg, png, gif, webp, bmp\"\n );\n Deno.exit(1);\n }\n\n // Create FormData for the upload\n const formData = new FormData();\n const filename = filePath.split(\"/\").pop() || \"image\";\n\n const file = new File([buffer], filename, {\n type: \"image/jpeg\", // Default to jpeg, server will handle detection\n });\n\n formData.append(\"file\", file);\n formData.append(\"filename\", filename);\n formData.append(\"type\", \"transcribe\"); // New type for transcription\n\n // Upload to transcription endpoint\n const response = await fetch(`${API_URL}/transcribe`, {\n method: \"POST\",\n body: formData,\n });\n\n if (!response.ok) {\n const errorText = await response.text();\n console.error(`Error: Server returned ${response.status}`, errorText);\n Deno.exit(1);\n }\n\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"processing\") {\n console.log(\"Processing image for transcription...\");\n console.log(`Request ID: ${data.requestId}`);\n console.log(`Image URL: ${data.url}`);\n\n // Poll for completion\n await pollForTranscription(data.url);\n } else if (data.transcription) {\n console.log(\"=== Transcription Result ===\");\n console.log(`Transcription: ${data.transcription}`);\n console.log(`Image URL: ${data.url}`);\n console.log(`Request ID: ${data.requestId}`);\n } else {\n console.log(`Request ID: ${data.requestId}`);\n console.log(`Image URL: ${data.url}`);\n }\n } catch (e) {\n if (e instanceof Error) {\n console.error(\"Error:\", e.message);\n Deno.exit(1);\n }\n }\n}\n\n// Poll for transcription completion\nasync function pollForTranscription(imageUrl: string): Promise {\n const timeoutSeconds = 120 * 1000; // 120 seconds max\n const timeStep = 5000;\n let attempts = 0;\n\n while (attempts < maxAttempts) {\n try {\n const response = await fetch(\n `${API_URL}/transcribe/status?url=${encodeURIComponent(imageUrl)}`\n );\n\n if (response.ok) {\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"completed\") {\n console.log(\"\\n=== Transcription Completed ===\");\n if (data.transcription) {\n console.log(`Transcription: ${data.transcription}`);\n } else {\n console.log(\"Transcription completed but no text found.\");\n }\n console.log(`Image URL: ${imageUrl}`);\n console.log(`Request ID: ${data.requestId}`);\n return;\n } else if (data.status === \"error\") {\n console.error(\"Transcription failed\");\n if (data.error) {\n console.error(\"Error:\", data.error);\n }\n return;\n }\n }\n\n // Wait 1 second before next attempt\n await new Promise((resolve) => setTimeout(resolve, timeStep));\n attempts++;\n } catch (error) {\n console.error(\"Error checking transcription status:\", error.message);\n break;\n }\n }\n\n console.log(\"Transcription \")\n}\n",23,[212,226],{"_154":227,"_104":675,"_109":676,"_157":138,"_380":677},132,["D",1751292129301],[678],{"_107":679,"_157":138,"_154":227,"_100":226,"_165":680,"_163":194,"_104":681,"_156":213,"_109":676,"_158":675,"_167":-5,"_160":27,"_166":27,"_103":682},"d0297318-55ba-11f0-ae58-f69ea79377d9","import { readFileContent } from \"./utils.ts\";\nimport { API_URL } from \"../shared/consts.ts\";\n\ninterface TranscriptionResponse {\n url: string;\n requestId: string;\n transcription?: string;\n status?: \"processing\" | \"completed\" | \"error\";\n error?: string;\n}\n\n// Upload file for transcription\nexport async function transcribeImage(filePath: string): Promise {\n try {\n const buffer = await readFileContent(filePath);\n\n // Check if it's a valid image by basic file extension check\n const lowerPath = filePath.toLowerCase();\n const imageExtensions = [\".jpg\", \".jpeg\", \".png\", \".gif\", \".webp\", \".bmp\"];\n const isImage = imageExtensions.some((ext) => lowerPath.endsWith(ext));\n\n if (!isImage) {\n console.error(\n \"Error: File does not appear to be an image. Supported formats: jpg, jpeg, png, gif, webp, bmp\"\n );\n Deno.exit(1);\n }\n\n // Create FormData for the upload\n const formData = new FormData();\n const filename = filePath.split(\"/\").pop() || \"image\";\n\n const file = new File([buffer], filename, {\n type: \"image/jpeg\", // Default to jpeg, server will handle detection\n });\n\n formData.append(\"file\", file);\n formData.append(\"filename\", filename);\n formData.append(\"type\", \"transcribe\"); // New type for transcription\n\n // Upload to transcription endpoint\n const response = await fetch(`${API_URL}/transcribe`, {\n method: \"POST\",\n body: formData,\n });\n\n if (!response.ok) {\n const errorText = await response.text();\n console.error(`Error: Server returned ${response.status}`, errorText);\n Deno.exit(1);\n }\n\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"processing\") {\n console.log(\"Processing image for transcription...\");\n console.log(`Request ID: ${data.requestId}`);\n console.log(`Image URL: ${data.url}`);\n\n // Poll for completion\n await pollForTranscription(data.url);\n } else if (data.transcription) {\n console.log(\"=== Transcription Result ===\");\n console.log(`Transcription: ${data.transcription}`);\n console.log(`Image URL: ${data.url}`);\n console.log(`Request ID: ${data.requestId}`);\n } else {\n console.log(`Request ID: ${data.requestId}`);\n console.log(`Image URL: ${data.url}`);\n }\n } catch (e) {\n if (e instanceof Error) {\n console.error(\"Error:\", e.message);\n Deno.exit(1);\n }\n }\n}\n\n// Poll for transcription completion\nasync function pollForTranscription(imageUrl: string): Promise {\n const timeoutSeconds = 120 * 1000; // 120 seconds max\n const timeStep = 5000;\n let attempts = 0;\n\n while (attempts < maxAttempts) {\n try {\n const response = await fetch(\n `${API_URL}/transcribe/status?url=${encodeURIComponent(imageUrl)}`\n );\n\n if (response.ok) {\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"completed\") {\n console.log(\"\\n=== Transcription Completed ===\");\n if (data.transcription) {\n console.log(`Transcription: ${data.transcription}`);\n } else {\n console.log(\"Transcription completed but no text found.\");\n }\n console.log(`Image URL: ${imageUrl}`);\n console.log(`Request ID: ${data.requestId}`);\n return;\n } else if (data.status === \"error\") {\n console.error(\"Transcription failed\");\n if (data.error) {\n console.error(\"Error:\", data.error);\n }\n return;\n }\n }\n\n // Wait 1 second before next attempt\n await new Promise((resolve) => setTimeout(resolve, timeStep));\n attempts;\n } catch (error) {\n console.error(\"Error checking transcription status:\", error.message);\n break;\n }\n }\n\n console.log(\"Transcription \")\n}\n",22,[212,226],{"_154":227,"_104":684,"_109":685,"_157":138,"_380":686},131,["D",1751292124608],[687],{"_107":688,"_157":138,"_154":227,"_100":226,"_165":671,"_163":194,"_104":689,"_156":213,"_109":685,"_158":684,"_167":-5,"_160":27,"_166":27,"_103":690},"cd5c5bb4-55ba-11f0-9bcc-f69ea79377d9",21,[212,226],{"_154":227,"_104":692,"_109":693,"_157":138,"_380":694},130,["D",1751292122968],[695],{"_107":696,"_157":138,"_154":227,"_100":226,"_165":697,"_163":194,"_104":698,"_156":213,"_109":693,"_158":692,"_167":-5,"_160":27,"_166":27,"_103":699},"cc62cf04-55ba-11f0-9618-f69ea79377d9","import { readFileContent } from \"./utils.ts\";\nimport { API_URL } from \"../shared/consts.ts\";\n\ninterface TranscriptionResponse {\n url: string;\n requestId: string;\n transcription?: string;\n status?: \"processing\" | \"completed\" | \"error\";\n error?: string;\n}\n\n// Upload file for transcription\nexport async function transcribeImage(filePath: string): Promise {\n try {\n const buffer = await readFileContent(filePath);\n\n // Check if it's a valid image by basic file extension check\n const lowerPath = filePath.toLowerCase();\n const imageExtensions = [\".jpg\", \".jpeg\", \".png\", \".gif\", \".webp\", \".bmp\"];\n const isImage = imageExtensions.some((ext) => lowerPath.endsWith(ext));\n\n if (!isImage) {\n console.error(\n \"Error: File does not appear to be an image. Supported formats: jpg, jpeg, png, gif, webp, bmp\"\n );\n Deno.exit(1);\n }\n\n // Create FormData for the upload\n const formData = new FormData();\n const filename = filePath.split(\"/\").pop() || \"image\";\n\n const file = new File([buffer], filename, {\n type: \"image/jpeg\", // Default to jpeg, server will handle detection\n });\n\n formData.append(\"file\", file);\n formData.append(\"filename\", filename);\n formData.append(\"type\", \"transcribe\"); // New type for transcription\n\n // Upload to transcription endpoint\n const response = await fetch(`${API_URL}/transcribe`, {\n method: \"POST\",\n body: formData,\n });\n\n if (!response.ok) {\n const errorText = await response.text();\n console.error(`Error: Server returned ${response.status}`, errorText);\n Deno.exit(1);\n }\n\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"processing\") {\n console.log(\"Processing image for transcription...\");\n console.log(`Request ID: ${data.requestId}`);\n console.log(`Image URL: ${data.url}`);\n\n // Poll for completion\n await pollForTranscription(data.url);\n } else if (data.transcription) {\n console.log(\"=== Transcription Result ===\");\n console.log(`Transcription: ${data.transcription}`);\n console.log(`Image URL: ${data.url}`);\n console.log(`Request ID: ${data.requestId}`);\n } else {\n console.log(`Request ID: ${data.requestId}`);\n console.log(`Image URL: ${data.url}`);\n }\n } catch (e) {\n if (e instanceof Error) {\n console.error(\"Error:\", e.message);\n Deno.exit(1);\n }\n }\n}\n\n// Poll for transcription completion\nasync function pollForTranscription(imageUrl: string): Promise {\n const timeoutSeconds = 120 * 1000; // 120 seconds max\n const timeStep = 5000;\n let attempts = 0;\n\n while (attempts < maxAttempts) {\n try {\n const response = await fetch(\n `${API_URL}/transcribe/status?url=${encodeURIComponent(imageUrl)}`\n );\n\n if (response.ok) {\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"completed\") {\n console.log(\"\\n=== Transcription Completed ===\");\n if (data.transcription) {\n console.log(`Transcription: ${data.transcription}`);\n } else {\n console.log(\"Transcription completed but no text found.\");\n }\n console.log(`Image URL: ${imageUrl}`);\n console.log(`Request ID: ${data.requestId}`);\n return;\n } else if (data.status === \"error\") {\n console.error(\"Transcription failed\");\n if (data.error) {\n console.error(\"Error:\", data.error);\n }\n return;\n }\n }\n\n // Wait 1 second before next attempt\n await new Promise((resolve) => setTimeout(resolve, time));\n attempts++;\n } catch (error) {\n console.error(\"Error checking transcription status:\", error.message);\n break;\n }\n }\n\n console.log(\"Transcription \")\n}\n",20,[212,226],{"_154":227,"_104":701,"_109":702,"_157":138,"_380":703},129,["D",1751292111377],[704],{"_107":705,"_157":138,"_154":227,"_100":226,"_165":706,"_163":194,"_104":707,"_156":213,"_109":702,"_158":701,"_167":-5,"_160":27,"_166":27,"_103":708},"c57ae596-55ba-11f0-81cd-f69ea79377d9","import { readFileContent } from \"./utils.ts\";\nimport { API_URL } from \"../shared/consts.ts\";\n\ninterface TranscriptionResponse {\n url: string;\n requestId: string;\n transcription?: string;\n status?: \"processing\" | \"completed\" | \"error\";\n error?: string;\n}\n\n// Upload file for transcription\nexport async function transcribeImage(filePath: string): Promise {\n try {\n const buffer = await readFileContent(filePath);\n\n // Check if it's a valid image by basic file extension check\n const lowerPath = filePath.toLowerCase();\n const imageExtensions = [\".jpg\", \".jpeg\", \".png\", \".gif\", \".webp\", \".bmp\"];\n const isImage = imageExtensions.some((ext) => lowerPath.endsWith(ext));\n\n if (!isImage) {\n console.error(\n \"Error: File does not appear to be an image. Supported formats: jpg, jpeg, png, gif, webp, bmp\"\n );\n Deno.exit(1);\n }\n\n // Create FormData for the upload\n const formData = new FormData();\n const filename = filePath.split(\"/\").pop() || \"image\";\n\n const file = new File([buffer], filename, {\n type: \"image/jpeg\", // Default to jpeg, server will handle detection\n });\n\n formData.append(\"file\", file);\n formData.append(\"filename\", filename);\n formData.append(\"type\", \"transcribe\"); // New type for transcription\n\n // Upload to transcription endpoint\n const response = await fetch(`${API_URL}/transcribe`, {\n method: \"POST\",\n body: formData,\n });\n\n if (!response.ok) {\n const errorText = await response.text();\n console.error(`Error: Server returned ${response.status}`, errorText);\n Deno.exit(1);\n }\n\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"processing\") {\n console.log(\"Processing image for transcription...\");\n console.log(`Request ID: ${data.requestId}`);\n console.log(`Image URL: ${data.url}`);\n\n // Poll for completion\n await pollForTranscription(data.url);\n } else if (data.transcription) {\n console.log(\"=== Transcription Result ===\");\n console.log(`Transcription: ${data.transcription}`);\n console.log(`Image URL: ${data.url}`);\n console.log(`Request ID: ${data.requestId}`);\n } else {\n console.log(`Request ID: ${data.requestId}`);\n console.log(`Image URL: ${data.url}`);\n }\n } catch (e) {\n if (e instanceof Error) {\n console.error(\"Error:\", e.message);\n Deno.exit(1);\n }\n }\n}\n\n// Poll for transcription completion\nasync function pollForTranscription(imageUrl: string): Promise {\n const timeoutSeconds = 120 * 1000; // 120 seconds max\n const timeStep = 5000\n let attempts = 0;\n\n while (attempts < maxAttempts) {\n try {\n const response = await fetch(\n `${API_URL}/transcribe/status?url=${encodeURIComponent(imageUrl)}`\n );\n\n if (response.ok) {\n const data: TranscriptionResponse = await response.json();\n\n if (data.status === \"completed\") {\n console.log(\"\\n=== Transcription Completed ===\");\n if (data.transcription) {\n console.log(`Transcription: ${data.transcription}`);\n } else {\n console.log(\"Transcription completed but no text found.\");\n }\n console.log(`Image URL: ${imageUrl}`);\n console.log(`Request ID: ${data.requestId}`);\n return;\n } else if (data.status === \"error\") {\n console.error(\"Transcription failed\");\n if (data.error) {\n console.error(\"Error:\", data.error);\n }\n return;\n }\n }\n\n // Wait 1 second before next attempt\n await new Promise((resolve) => setTimeout(resolve, 5000));\n attempts++;\n } catch (error) {\n console.error(\"Error checking transcription status:\", error.message);\n break;\n }\n }\n\n console.log(\"Transcription \")\n}\n",19,[212,226],"page","hasNext","routes/_app","actionData","errors"]

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