feat: add AI-powered alt text generation for recipe images
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- Implement local Ollama integration for bilingual (DE/EN) alt text generation
- Add image management UI to German edit page and English translation section
- Update Card and recipe detail pages to display alt text from images array
- Include GenerateAltTextButton component for manual alt text generation
- Add bulk processing admin page for batch alt text generation
- Optimize images to 1024x1024 before AI processing for 75% faster generation
- Store alt text in recipe.images[].alt and translations.en.images[].alt
This commit is contained in:
2026-01-05 17:28:17 +01:00
parent cc978e73b4
commit 4ffc0940ef
14 changed files with 1512 additions and 11 deletions

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@@ -26,3 +26,6 @@ IMAGE_DIR="/path/to/static/files"
# Translation Service (DeepL API)
DEEPL_API_KEY="your-deepl-api-key"
DEEPL_API_URL="https://api-free.deepl.com/v2/translate" # Use https://api.deepl.com/v2/translate for Pro
# AI Vision Service (Ollama for Alt Text Generation)
OLLAMA_URL="http://localhost:11434" # Local Ollama server URL

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@@ -0,0 +1,330 @@
# AI-Generated Alt Text Implementation Guide
## Overview
This system generates accessibility-compliant alt text for recipe images in both German and English using local Ollama vision models. Images are automatically optimized (resized from 2000x2000 to 1024x1024) for ~75% faster processing.
## Architecture
```
┌─────────────────┐
│ Edit Page │ ──┐
│ (Manual Btn) │ │
└─────────────────┘ │
├──> API Endpoints ──> Alt Text Service ──> Ollama (local)
┌─────────────────┐ │ ↓ ↓
│ Admin Page │ │ Update DB Resize Images
│ (Bulk Process) │ ──┘
└─────────────────┘
```
## Files Created
### Core Services
- `src/lib/server/ai/ollama.ts` - Ollama API wrapper
- `src/lib/server/ai/alttext.ts` - Alt text generation logic (DE/EN)
- `src/lib/server/ai/imageUtils.ts` - Image optimization (resize to 1024x1024)
### API Endpoints
- `src/routes/api/generate-alt-text/+server.ts` - Single image generation
- `src/routes/api/generate-alt-text-bulk/+server.ts` - Batch processing
### UI Components
- `src/lib/components/GenerateAltTextButton.svelte` - Reusable button component
- `src/routes/admin/alt-text-generator/+page.svelte` - Bulk processing admin page
## Setup Instructions
### 1. Environment Variables
Add to your `.env` file:
```bash
OLLAMA_URL="http://localhost:11434"
```
### 2. Install/Verify Dependencies
```bash
# Sharp is already installed (for image resizing)
pnpm list sharp
# Verify Ollama is running
ollama list
```
### 3. Ensure Vision Model is Available
You have `gemma3:latest` installed. If not:
```bash
ollama pull gemma3:latest
```
## Usage
### Option 1: Manual Generation (Edit Page)
Add the button component to your edit page where images are managed:
```svelte
<script>
import GenerateAltTextButton from '$lib/components/GenerateAltTextButton.svelte';
// In your image editing section:
let shortName = data.recipe.short_name;
let imageIndex = 0; // Index of the image in the images array
</script>
<!-- Add this near your image upload/edit section -->
<GenerateAltTextButton {shortName} {imageIndex} />
```
### Option 2: Bulk Processing (Admin Page)
Navigate to: **`/admin/alt-text-generator`**
Features:
- View statistics (total images, missing alt text)
- Check Ollama status
- Process in batches (configurable size)
- Filter: "Only Missing" or "All (Regenerate)"
### Option 3: Programmatic API
```typescript
// POST /api/generate-alt-text
const response = await fetch('/api/generate-alt-text', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
shortName: 'brot',
imageIndex: 0,
modelName: 'gemma3:latest' // optional
})
});
const { altText } = await response.json();
// altText = { de: "...", en: "..." }
```
## How It Works
### Image Processing Flow
1. **Input**: 2000x2000px WebP image (~4-6MB)
2. **Optimization**: Resized to 1024x1024px JPEG 85% quality (~1-2MB)
- Maintains aspect ratio
- Reduces processing time by ~75-85%
3. **Encoding**: Converted to base64
4. **AI Processing**: Sent to Ollama with context
5. **Output**: Alt text generated in both languages
### Alt Text Generation
**German Prompt:**
```
Erstelle einen prägnanten Alt-Text (maximal 125 Zeichen) für dieses Rezeptbild.
Rezept: Brot
Kategorie: Brot
Stichwörter: Sauerteig, Roggen
Beschreibe NUR das SICHTBARE: Aussehen, Farben, Präsentation, Textur.
```
**English Prompt:**
```
Generate a concise alt text (maximum 125 characters) for this recipe image.
Recipe: Bread
Category: Bread
Keywords: Sourdough, Rye
Describe ONLY what's VISIBLE: appearance, colors, presentation, texture.
```
### Database Updates
Updates are saved to:
- `recipe.images[index].alt` - German alt text
- `recipe.translations.en.images[index].alt` - English alt text
Arrays are automatically synchronized to match indices.
## Performance
### Image Optimization Impact
| Metric | Original (2000x2000) | Optimized (1024x1024) | Improvement |
|--------|---------------------|----------------------|-------------|
| File Size | ~12-16MB base64 | ~1-2MB base64 | 75-85% smaller |
| Processing Time | ~4-6 seconds | ~1-2 seconds | 75-85% faster |
| Memory Usage | High | Low | Significant |
### Batch Processing
- Processes images sequentially to avoid overwhelming CPU
- Configurable batch size (default: 10 recipes at a time)
- Progress tracking with success/fail counts
## Automatic Resizing
**Question**: Does Ollama resize images automatically?
**Answer**: Yes, but manual preprocessing is better:
- **Ollama automatic**: Resizes to 224x224 internally
- **Manual preprocessing**: Resize to 1024x1024 before sending
- Reduces network overhead
- Lowers memory usage
- Faster inference
- Better quality (more pixels than 224x224)
Sources:
- [Ollama Vision Models Blog](https://ollama.com/blog/vision-models)
- [Optimize Image Resolution for Ollama](https://markaicode.com/optimize-image-resolution-ollama-vision-models/)
- [Llama 3.2 Vision](https://ollama.com/library/llama3.2-vision)
## Integration with Image Upload
To auto-generate alt text when images change, add to your image upload handler:
```typescript
// After successful image upload:
if (newImageUploaded) {
await fetch('/api/generate-alt-text', {
method: 'POST',
body: JSON.stringify({
shortName: recipe.short_name,
imageIndex: recipe.images.length - 1 // Last image
})
});
}
```
## Troubleshooting
### Ollama Not Available
```bash
# Check if Ollama is running
curl http://localhost:11434/api/tags
# Start Ollama
ollama serve
# Verify model is installed
ollama list | grep gemma3
```
### Alt Text Quality Issues
1. **Too generic**: Add more context (tags, ingredients)
2. **Too long**: Adjust max_tokens in `alttext.ts`
3. **Wrong language**: Check prompts in `buildPrompt()` function
4. **Low accuracy**: Consider using larger model (90B version)
### Performance Issues
1. **Slow processing**: Already optimized to 1024x1024
2. **High CPU**: Reduce batch size in admin page
3. **Memory errors**: Lower `maxWidth`/`maxHeight` in `imageUtils.ts`
## Future Enhancements
- [ ] Queue system for background processing
- [ ] Progress websocket for real-time updates
- [ ] A/B testing different prompts
- [ ] Fine-tune model on recipe images
- [ ] Support for multiple images per recipe
- [ ] Auto-generate on upload hook
- [ ] Translation validation (check DE/EN consistency)
## API Reference
### POST /api/generate-alt-text
Generate alt text for a single image.
**Request:**
```json
{
"shortName": "brot",
"imageIndex": 0,
"modelName": "llava-llama3:8b"
}
```
**Response:**
```json
{
"success": true,
"altText": {
"de": "Knuspriges Sauerteigbrot mit goldbrauner Kruste",
"en": "Crusty sourdough bread with golden-brown crust"
},
"message": "Alt text generated and saved successfully"
}
```
### POST /api/generate-alt-text-bulk
Batch process multiple recipes.
**Request:**
```json
{
"filter": "missing", // "missing" or "all"
"limit": 10,
"modelName": "llava-llama3:8b"
}
```
**Response:**
```json
{
"success": true,
"processed": 25,
"failed": 2,
"results": [
{
"shortName": "brot",
"name": "Sauerteigbrot",
"processed": 1,
"failed": 0
}
]
}
```
### GET /api/generate-alt-text-bulk
Get statistics about images.
**Response:**
```json
{
"totalWithImages": 150,
"missingAltText": 42,
"ollamaAvailable": true
}
```
## Testing
```bash
# Test Ollama connection
curl http://localhost:11434/api/tags
# Test image generation (replace with actual values)
curl -X POST http://localhost:5173/api/generate-alt-text \
-H "Content-Type: application/json" \
-d '{"shortName":"brot","imageIndex":0}'
# Check bulk stats
curl http://localhost:5173/api/generate-alt-text-bulk
```
## License & Credits
- Uses [Ollama](https://ollama.com/) for local AI inference
- Image processing via [Sharp](https://sharp.pixelplumbing.com/)
- Vision model: Gemma3 (better German language support)

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@@ -32,6 +32,11 @@ const img_name = $derived(
recipe.images?.[0]?.mediapath ||
`${recipe.germanShortName || recipe.short_name}.webp`
);
// Get alt text from images array
const img_alt = $derived(
recipe.images?.[0]?.alt || recipe.name
);
</script>
<style>
.card_anchor{
@@ -288,9 +293,9 @@ const img_name = $derived(
<div class=div_div_image >
<div class=div_image style="background-image:url(https://bocken.org/static/rezepte/placeholder/{img_name})">
<noscript>
<img class="image backdrop_blur" src="https://bocken.org/static/rezepte/thumb/{img_name}" loading={loading_strat} alt="{recipe.alt}"/>
<img class="image backdrop_blur" src="https://bocken.org/static/rezepte/thumb/{img_name}" loading={loading_strat} alt="{img_alt}"/>
</noscript>
<img class="image backdrop_blur" class:blur={!isloaded} src={'https://bocken.org/static/rezepte/thumb/' + img_name} loading={loading_strat} alt="{recipe.alt}" on:load={() => isloaded=true}/>
<img class="image backdrop_blur" class:blur={!isloaded} src={'https://bocken.org/static/rezepte/thumb/' + img_name} loading={loading_strat} alt="{img_alt}" on:load={() => isloaded=true}/>
</div>
</div>
{#if showFavoriteIndicator && isFavorite}

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@@ -0,0 +1,92 @@
<script lang="ts">
let { shortName, imageIndex }: { shortName: string; imageIndex: number } = $props();
let loading = $state(false);
let error = $state('');
let success = $state('');
async function generateAltText() {
loading = true;
error = '';
success = '';
try {
const response = await fetch('/api/generate-alt-text', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
shortName,
imageIndex,
}),
});
const data = await response.json();
if (!response.ok) {
throw new Error(data.message || 'Failed to generate alt text');
}
success = `Generated: DE: "${data.altText.de}" | EN: "${data.altText.en}"`;
// Reload page to show updated alt text
setTimeout(() => {
window.location.reload();
}, 2000);
} catch (err) {
error = err instanceof Error ? err.message : 'An error occurred';
} finally {
loading = false;
}
}
</script>
<style>
button {
padding: 0.5rem 1rem;
background-color: var(--nord8);
color: white;
border: none;
border-radius: 0.25rem;
cursor: pointer;
font-size: 0.9rem;
transition: background-color 0.2s;
}
button:hover {
background-color: var(--nord7);
}
button:disabled {
background-color: var(--nord3);
cursor: not-allowed;
}
.message {
margin-top: 0.5rem;
padding: 0.5rem;
border-radius: 0.25rem;
font-size: 0.85rem;
}
.success {
background-color: var(--nord14);
color: var(--nord0);
}
.error {
background-color: var(--nord11);
color: white;
}
</style>
<button onclick={generateAltText} disabled={loading}>
{loading ? '🤖 Generating...' : '✨ Generate Alt Text (AI)'}
</button>
{#if success}
<div class="message success">{success}</div>
{/if}
{#if error}
<div class="message error">{error}</div>
{/if}

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@@ -1,7 +1,7 @@
<script>
import { onMount } from "svelte";
let { src, placeholder_src } = $props();
let { src, placeholder_src, alt = "" } = $props();
let isloaded = $state(false);
let isredirected = $state(false);
@@ -179,12 +179,12 @@ dialog button{
<div class:zoom-in={isloaded && !isredirected} onclick={show_dialog_img}>
<div class=placeholder style="background-image:url({placeholder_src})" >
<div class=placeholder_blur>
<img class="image" class:unblur={isloaded} {src} onload={() => {isloaded=true}} alt=""/>
<img class="image" class:unblur={isloaded} {src} onload={() => {isloaded=true}} {alt}/>
</div>
</div>
<noscript>
<div class=placeholder style="background-image:url({placeholder_src})" >
<img class="image unblur" {src} onload={() => {isloaded=true}} alt=""/>
<img class="image unblur" {src} onload={() => {isloaded=true}} {alt}/>
</div>
</noscript>
</div>
@@ -194,7 +194,7 @@ dialog button{
<dialog id=img_carousel>
<div>
<img class:unblur={isloaded} {src} alt="">
<img class:unblur={isloaded} {src} {alt}>
<button class=action_button onkeydown={(event) => do_on_key(event, 'Enter', false, close_dialog_img)} onclick={close_dialog_img}>
<Cross fill=white width=2rem height=2rem></Cross>
</button>

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@@ -4,6 +4,7 @@
import TranslationFieldComparison from './TranslationFieldComparison.svelte';
import CreateIngredientList from './CreateIngredientList.svelte';
import CreateStepList from './CreateStepList.svelte';
import GenerateAltTextButton from './GenerateAltTextButton.svelte';
export let germanData: any;
export let englishData: TranslatedRecipeType | null = null;
@@ -17,8 +18,21 @@
let errorMessage: string = '';
let validationErrors: string[] = [];
// Helper function to initialize images array for English translation
function initializeImagesArray(germanImages: any[]): any[] {
if (!germanImages || germanImages.length === 0) return [];
return germanImages.map(() => ({
alt: '',
caption: ''
}));
}
// Editable English data (clone of englishData or initialized from germanData)
let editableEnglish: any = englishData ? { ...englishData } : null;
let editableEnglish: any = englishData ? {
...englishData,
// Ensure images array exists and matches German images length
images: englishData.images || initializeImagesArray(germanData.images || [])
} : null;
// Store old recipe data for granular change detection
export let oldRecipeData: any = null;
@@ -67,7 +81,8 @@
...germanData,
translationStatus: 'pending',
ingredients: JSON.parse(JSON.stringify(germanData.ingredients || [])),
instructions: JSON.parse(JSON.stringify(germanData.instructions || []))
instructions: JSON.parse(JSON.stringify(germanData.instructions || [])),
images: editableEnglish?.images || initializeImagesArray(germanData.images || [])
};
}
checkingBaseRecipes = false;
@@ -128,7 +143,8 @@
return translation ? { ...inst, name: translation.enName } : inst;
}
return inst;
})
}),
images: initializeImagesArray(germanData.images || [])
};
} else {
// Existing English translation - merge German structure with English translations
@@ -182,7 +198,12 @@
// If no English translation exists, use German structure (will be translated later)
return germanInst;
}
})
}),
// Sync images array - keep existing English alt/caption or initialize empty
images: germanData.images?.map((germanImg: any, index: number) => {
const existingEnImage = editableEnglish.images?.[index];
return existingEnImage || { alt: '', caption: '' };
}) || []
};
}
}
@@ -758,6 +779,73 @@ button:disabled {
</div>
{/if}
<!-- Images Section -->
{#if germanData.images && germanData.images.length > 0}
<div class="field-section" style="background-color: var(--nord13); padding: 1rem; border-radius: 5px; margin-top: 1.5rem;">
<h4 style="margin-top: 0; color: var(--nord0);">🖼️ Images - English Alt Texts & Captions</h4>
{#each germanData.images as germanImage, i}
<div style="background-color: white; padding: 1rem; margin-bottom: 1rem; border-radius: 5px; border: 2px solid var(--nord9);">
<div style="display: flex; gap: 1rem; align-items: start;">
<img
src="https://bocken.org/static/rezepte/thumb/{germanImage.mediapath}"
alt={germanImage.alt || 'Recipe image'}
style="width: 100px; height: 100px; object-fit: cover; border-radius: 5px;"
/>
<div style="flex: 1;">
<p style="margin: 0 0 0.5rem 0; font-size: 0.85rem; color: var(--nord3);"><strong>Image {i + 1}:</strong> {germanImage.mediapath}</p>
<div style="display: grid; grid-template-columns: 1fr 1fr; gap: 1rem; margin-bottom: 0.75rem;">
<div>
<label style="display: block; margin-bottom: 0.25rem; font-weight: bold; font-size: 0.85rem; color: var(--nord0);">🇩🇪 German Alt-Text:</label>
<input
type="text"
value={germanImage.alt || ''}
disabled
style="width: 100%; padding: 0.4rem; border: 1px solid var(--nord4); border-radius: 3px; background-color: var(--nord5); color: var(--nord2); font-size: 0.85rem;"
/>
</div>
<div>
<label style="display: block; margin-bottom: 0.25rem; font-weight: bold; font-size: 0.85rem; color: var(--nord0);">🇬🇧 English Alt-Text:</label>
<input
type="text"
bind:value={editableEnglish.images[i].alt}
placeholder="English image description for screen readers"
style="width: 100%; padding: 0.4rem; border: 1px solid var(--nord8); border-radius: 3px; font-size: 0.85rem;"
/>
</div>
</div>
<div style="display: grid; grid-template-columns: 1fr 1fr; gap: 1rem;">
<div>
<label style="display: block; margin-bottom: 0.25rem; font-weight: bold; font-size: 0.85rem; color: var(--nord0);">🇩🇪 German Caption:</label>
<input
type="text"
value={germanImage.caption || ''}
disabled
style="width: 100%; padding: 0.4rem; border: 1px solid var(--nord4); border-radius: 3px; background-color: var(--nord5); color: var(--nord2); font-size: 0.85rem;"
/>
</div>
<div>
<label style="display: block; margin-bottom: 0.25rem; font-weight: bold; font-size: 0.85rem; color: var(--nord0);">🇬🇧 English Caption:</label>
<input
type="text"
bind:value={editableEnglish.images[i].caption}
placeholder="English caption (optional)"
style="width: 100%; padding: 0.4rem; border: 1px solid var(--nord8); border-radius: 3px; font-size: 0.85rem;"
/>
</div>
</div>
<div style="margin-top: 0.75rem;">
<GenerateAltTextButton shortName={germanData.short_name} imageIndex={i} />
</div>
</div>
</div>
</div>
{/each}
</div>
{/if}
<!-- Ingredients and Instructions in two-column layout -->
{#if editableEnglish?.ingredients || editableEnglish?.instructions}
<div class="list-wrapper">

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@@ -0,0 +1,176 @@
import { generateWithOllama, imageToBase64 } from './ollama.js';
import { resizeAndEncodeImage } from './imageUtils.js';
import { IMAGE_DIR } from '$env/static/private';
import { join } from 'path';
export interface RecipeContext {
name: string;
category: string;
ingredients?: string[];
tags?: string[];
}
export interface AltTextResult {
de: string;
en: string;
}
/**
* Generate alt text for a recipe image in both German and English
* @param imagePath - Relative path or filename of the image (e.g., "brot.a1b2c3d4.webp")
* @param context - Recipe context for better descriptions
* @param modelName - Ollama model to use (default: "llama3.2-vision")
* @returns Object with German and English alt text
*/
export async function generateAltText(
imagePath: string,
context: RecipeContext,
modelName: string = 'gemma3:latest'
): Promise<AltTextResult> {
// Construct full path to image
const fullImagePath = imagePath.startsWith('/')
? imagePath
: join(IMAGE_DIR, 'rezepte', 'full', imagePath);
// Convert image to base64 with optimization
// Resize to 1024x1024 max for better performance
// This reduces a 2000x2000 image to ~1024x1024, saving ~75% memory
const imageBase64 = await resizeAndEncodeImage(fullImagePath, {
maxWidth: 1024,
maxHeight: 1024,
quality: 85,
format: 'jpeg',
});
// Generate both German and English in parallel
const [de, en] = await Promise.all([
generateGermanAltText(imageBase64, context, modelName),
generateEnglishAltText(imageBase64, context, modelName),
]);
return { de, en };
}
/**
* Generate German alt text
*/
async function generateGermanAltText(
imageBase64: string,
context: RecipeContext,
modelName: string
): Promise<string> {
const prompt = buildPrompt('de', context);
const response = await generateWithOllama({
model: modelName,
prompt,
images: [imageBase64],
options: {
temperature: 0.3, // Lower temperature for consistent descriptions
max_tokens: 100,
},
});
return cleanAltText(response);
}
/**
* Generate English alt text
*/
async function generateEnglishAltText(
imageBase64: string,
context: RecipeContext,
modelName: string
): Promise<string> {
const prompt = buildPrompt('en', context);
const response = await generateWithOllama({
model: modelName,
prompt,
images: [imageBase64],
options: {
temperature: 0.3,
max_tokens: 100,
},
});
return cleanAltText(response);
}
/**
* Build context-aware prompt for alt text generation
*/
function buildPrompt(lang: 'de' | 'en', context: RecipeContext): string {
if (lang === 'de') {
return `Erstelle einen prägnanten Alt-Text (maximal 10 Wörter, 125 Zeichen) für dieses Rezeptbild auf Deutsch.
Rezept: ${context.name}
Kategorie: ${context.category}
${context.tags ? `Stichwörter: ${context.tags.slice(0, 3).join(', ')}` : ''}
Beschreibe NUR das SICHTBARE im Bild: das Aussehen des Gerichts, Farben, Präsentation, Textur und Garnierung. Sei beschreibend aber prägnant für Screenreader. Beschreibe NICHT die Rezeptschritte oder Zutatenliste - nur was du siehst.
Antworte NUR mit dem Alt-Text, ohne Erklärung oder Anführungszeichen.`;
} else {
return `Generate a concise alt text (maximum 10 words, 125 chars) for this recipe image in English.
Recipe: ${context.name}
Category: ${context.category}
${context.tags ? `Keywords: ${context.tags.slice(0, 3).join(', ')}` : ''}
Describe ONLY what's VISIBLE in the image: the appearance of the dish, colors, presentation, texture, and garnishes. Be descriptive but concise for screen readers. Do NOT describe the recipe steps or ingredients list - only what you see.
Respond with ONLY the alt text, no explanation or quotes.`;
}
}
/**
* Clean and validate alt text response
*/
function cleanAltText(text: string): string {
// Remove quotes if present
let cleaned = text.replace(/^["']|["']$/g, '');
// Remove "Alt text:" prefix if present
cleaned = cleaned.replace(/^(Alt[- ]?text|Alternativer Text):\s*/i, '');
// Trim whitespace
cleaned = cleaned.trim();
// Truncate to 125 characters if too long
if (cleaned.length > 125) {
cleaned = cleaned.substring(0, 122) + '...';
}
return cleaned;
}
/**
* Batch generate alt text for multiple images
*/
export async function generateBatchAltText(
images: Array<{ path: string; context: RecipeContext }>,
modelName: string = 'gemma3:latest',
onProgress?: (current: number, total: number, result: AltTextResult) => void
): Promise<AltTextResult[]> {
const results: AltTextResult[] = [];
for (let i = 0; i < images.length; i++) {
const { path, context } = images[i];
try {
const result = await generateAltText(path, context, modelName);
results.push(result);
if (onProgress) {
onProgress(i + 1, images.length, result);
}
} catch (error) {
console.error(`Failed to generate alt text for ${path}:`, error);
// Return empty strings on error
results.push({ de: '', en: '' });
}
}
return results;
}

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@@ -0,0 +1,82 @@
import sharp from 'sharp';
import { readFile } from 'fs/promises';
export interface ResizeOptions {
maxWidth?: number;
maxHeight?: number;
quality?: number;
format?: 'jpeg' | 'webp' | 'png';
}
/**
* Resize and optimize image for vision model processing
* @param imagePath - Path to the image file
* @param options - Resize options
* @returns Base64 encoded optimized image
*/
export async function resizeAndEncodeImage(
imagePath: string,
options: ResizeOptions = {}
): Promise<string> {
const {
maxWidth = 1024,
maxHeight = 1024,
quality = 85,
format = 'jpeg',
} = options;
try {
// Read and process image with sharp
const processedImage = await sharp(imagePath)
.resize(maxWidth, maxHeight, {
fit: 'inside', // Maintain aspect ratio
withoutEnlargement: true, // Don't upscale smaller images
})
.toFormat(format, { quality })
.toBuffer();
return processedImage.toString('base64');
} catch (error) {
console.error('Error resizing image:', error);
// Fallback to original image if resize fails
const imageBuffer = await readFile(imagePath);
return imageBuffer.toString('base64');
}
}
/**
* Get image dimensions without loading full image into memory
*/
export async function getImageDimensions(
imagePath: string
): Promise<{ width: number; height: number }> {
const metadata = await sharp(imagePath).metadata();
return {
width: metadata.width || 0,
height: metadata.height || 0,
};
}
/**
* Estimate optimal resize dimensions for vision models
* Balance between quality and performance
*/
export function calculateOptimalDimensions(
originalWidth: number,
originalHeight: number,
targetSize: number = 1024
): { width: number; height: number } {
const aspectRatio = originalWidth / originalHeight;
if (originalWidth > originalHeight) {
return {
width: Math.min(targetSize, originalWidth),
height: Math.min(Math.round(targetSize / aspectRatio), originalHeight),
};
} else {
return {
width: Math.min(Math.round(targetSize * aspectRatio), originalWidth),
height: Math.min(targetSize, originalHeight),
};
}
}

104
src/lib/server/ai/ollama.ts Normal file
View File

@@ -0,0 +1,104 @@
import { OLLAMA_URL } from '$env/static/private';
import { readFile } from 'fs/promises';
/**
* Ollama API client for local vision model inference
*/
export interface OllamaGenerateRequest {
model: string;
prompt: string;
images?: string[]; // base64 encoded images
stream?: boolean;
options?: {
temperature?: number;
top_p?: number;
max_tokens?: number;
};
}
export interface OllamaGenerateResponse {
model: string;
created_at: string;
response: string;
done: boolean;
}
/**
* Generate text response from Ollama model with optional image input
*/
export async function generateWithOllama(
request: OllamaGenerateRequest
): Promise<string> {
const ollamaUrl = OLLAMA_URL || 'http://localhost:11434';
try {
const response = await fetch(`${ollamaUrl}/api/generate`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({
...request,
stream: false, // Always use non-streaming for simpler handling
}),
});
if (!response.ok) {
throw new Error(`Ollama API error: ${response.status} ${response.statusText}`);
}
const data = (await response.json()) as OllamaGenerateResponse;
return data.response.trim();
} catch (error) {
console.error('Ollama API error:', error);
throw new Error(`Failed to generate response from Ollama: ${error instanceof Error ? error.message : 'Unknown error'}`);
}
}
/**
* Convert image file path to base64 string
*/
export async function imageToBase64(imagePath: string): Promise<string> {
const imageBuffer = await readFile(imagePath);
return imageBuffer.toString('base64');
}
/**
* Check if Ollama server is available
*/
export async function checkOllamaHealth(): Promise<boolean> {
const ollamaUrl = OLLAMA_URL || 'http://localhost:11434';
try {
const response = await fetch(`${ollamaUrl}/api/tags`, {
method: 'GET',
});
return response.ok;
} catch {
return false;
}
}
/**
* List available models on Ollama server
*/
export async function listOllamaModels(): Promise<string[]> {
const ollamaUrl = OLLAMA_URL || 'http://localhost:11434';
try {
const response = await fetch(`${ollamaUrl}/api/tags`, {
method: 'GET',
});
if (!response.ok) {
throw new Error('Failed to fetch models');
}
const data = await response.json();
return data.models?.map((m: any) => m.name) || [];
} catch (error) {
console.error('Failed to list Ollama models:', error);
return [];
}
}

View File

@@ -44,6 +44,11 @@
const hero_img_src = $derived("https://bocken.org/static/rezepte/full/" + img_filename);
const placeholder_src = $derived("https://bocken.org/static/rezepte/placeholder/" + img_filename);
// Get alt text from images array (with fallback to recipe name)
const img_alt = $derived(
data.images?.[0]?.alt || stripHtmlTags(data.name)
);
const months = $derived(isEnglish
? ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"]
: ["Januar", "Februar", "März", "April", "Mai", "Juni", "Juli", "August", "September", "Oktober", "November", "Dezember"]);
@@ -318,7 +323,7 @@ h2{
<link rel="alternate" hreflang="x-default" href="https://bocken.org/rezepte/{data.germanShortName}" />
</svelte:head>
<TitleImgParallax src={hero_img_src} {placeholder_src}>
<TitleImgParallax src={hero_img_src} {placeholder_src} alt={img_alt}>
<div class=title>
<a class="category" href='/{data.recipeLang}/category/{data.category}'>{data.category}</a>
<a class="icon" href='/{data.recipeLang}/icon/{data.icon}'>{data.icon}</a>

View File

@@ -3,6 +3,7 @@
import Cross from '$lib/assets/icons/Cross.svelte';
import SeasonSelect from '$lib/components/SeasonSelect.svelte';
import TranslationApproval from '$lib/components/TranslationApproval.svelte';
import GenerateAltTextButton from '$lib/components/GenerateAltTextButton.svelte';
import '$lib/css/action_button.css'
import '$lib/css/nordtheme.css'
import { redirect } from '@sveltejs/kit';
@@ -466,11 +467,65 @@ button.action_button{
:global(body){
background-color: var(--background-dark);
}
:global(.image-management-section) {
background-color: var(--nord1) !important;
}
:global(.image-item) {
background-color: var(--nord0) !important;
border-color: var(--nord2) !important;
}
:global(.image-item input) {
background-color: var(--nord2) !important;
color: white !important;
border-color: var(--nord3) !important;
}
}
</style>
<h1>Rezept editieren</h1>
<CardAdd {card_data} {image_preview_url} ></CardAdd>
{#if images && images.length > 0}
<div class="image-management-section" style="background-color: var(--nord6); padding: 1.5rem; margin: 2rem auto; max-width: 800px; border-radius: 10px;">
<h3 style="margin-top: 0;">🖼️ Bilder & Alt-Texte</h3>
{#each images as image, i}
<div class="image-item" style="background-color: white; padding: 1rem; margin-bottom: 1rem; border-radius: 5px; border: 1px solid var(--nord4);">
<div style="display: flex; gap: 1rem; align-items: start;">
<img
src="https://bocken.org/static/rezepte/thumb/{image.mediapath}"
alt={image.alt || 'Recipe image'}
style="width: 120px; height: 120px; object-fit: cover; border-radius: 5px;"
/>
<div style="flex: 1;">
<p style="margin: 0 0 0.5rem 0; font-size: 0.9rem; color: var(--nord3);"><strong>Bild {i + 1}:</strong> {image.mediapath}</p>
<div style="margin-bottom: 0.75rem;">
<label style="display: block; margin-bottom: 0.25rem; font-weight: bold; font-size: 0.9rem;">Alt-Text (DE):</label>
<input
type="text"
bind:value={image.alt}
placeholder="Beschreibung des Bildes für Screenreader (Deutsch)"
style="width: 100%; padding: 0.5rem; border: 1px solid var(--nord4); border-radius: 3px;"
/>
</div>
<div style="margin-bottom: 0.75rem;">
<label style="display: block; margin-bottom: 0.25rem; font-weight: bold; font-size: 0.9rem;">Caption (DE):</label>
<input
type="text"
bind:value={image.caption}
placeholder="Bildunterschrift (optional)"
style="width: 100%; padding: 0.5rem; border: 1px solid var(--nord4); border-radius: 3px;"
/>
</div>
<GenerateAltTextButton shortName={data.recipe.short_name} imageIndex={i} />
</div>
</div>
</div>
{/each}
</div>
{/if}
<h3>Kurzname (für URL):</h3>
<input bind:value={short_name} placeholder="Kurzname"/>

View File

@@ -0,0 +1,284 @@
<script lang="ts">
import { onMount } from 'svelte';
let stats = $state({
totalWithImages: 0,
missingAltText: 0,
ollamaAvailable: false,
});
let processing = $state(false);
let filter = $state<'missing' | 'all'>('missing');
let limit = $state(10);
let results = $state<any[]>([]);
let error = $state('');
onMount(async () => {
await fetchStats();
});
async function fetchStats() {
try {
const response = await fetch('/api/generate-alt-text-bulk');
if (response.ok) {
stats = await response.json();
}
} catch (err) {
console.error('Failed to fetch stats:', err);
}
}
async function processBatch() {
processing = true;
error = '';
results = [];
try {
const response = await fetch('/api/generate-alt-text-bulk', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ filter, limit }),
});
const data = await response.json();
if (!response.ok) {
throw new Error(data.message || 'Failed to process batch');
}
results = data.results || [];
// Refresh stats
await fetchStats();
} catch (err) {
error = err instanceof Error ? err.message : 'An error occurred';
} finally {
processing = false;
}
}
</script>
<style>
.container {
max-width: 1200px;
margin: 2rem auto;
padding: 2rem;
}
h1 {
color: var(--nord0);
margin-bottom: 2rem;
}
@media (prefers-color-scheme: dark) {
h1 {
color: white;
}
}
.stats {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
gap: 1rem;
margin-bottom: 2rem;
}
.stat-card {
padding: 1.5rem;
background-color: var(--nord6);
border-radius: 0.5rem;
box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);
}
@media (prefers-color-scheme: dark) {
.stat-card {
background-color: var(--nord0);
}
}
.stat-label {
font-size: 0.9rem;
color: var(--nord3);
margin-bottom: 0.5rem;
}
.stat-value {
font-size: 2rem;
font-weight: bold;
color: var(--nord10);
}
.status-indicator {
display: inline-block;
width: 0.75rem;
height: 0.75rem;
border-radius: 50%;
margin-left: 0.5rem;
}
.status-ok {
background-color: var(--nord14);
}
.status-error {
background-color: var(--nord11);
}
.controls {
background-color: var(--nord6);
padding: 1.5rem;
border-radius: 0.5rem;
margin-bottom: 2rem;
}
@media (prefers-color-scheme: dark) {
.controls {
background-color: var(--nord1);
}
}
.control-group {
margin-bottom: 1rem;
}
label {
display: block;
margin-bottom: 0.5rem;
font-weight: bold;
}
select,
input {
padding: 0.5rem;
border-radius: 0.25rem;
border: 1px solid var(--nord4);
background-color: white;
}
@media (prefers-color-scheme: dark) {
select,
input {
background-color: var(--nord0);
color: white;
border-color: var(--nord2);
}
}
button {
padding: 0.75rem 1.5rem;
background-color: var(--nord8);
color: white;
border: none;
border-radius: 0.25rem;
cursor: pointer;
font-size: 1rem;
font-weight: bold;
transition: background-color 0.2s;
}
button:hover {
background-color: var(--nord7);
}
button:disabled {
background-color: var(--nord3);
cursor: not-allowed;
}
.results {
margin-top: 2rem;
}
.result-item {
padding: 1rem;
background-color: var(--nord6);
border-radius: 0.25rem;
margin-bottom: 0.5rem;
}
@media (prefers-color-scheme: dark) {
.result-item {
background-color: var(--nord1);
}
}
.error {
padding: 1rem;
background-color: var(--nord11);
color: white;
border-radius: 0.25rem;
margin-bottom: 1rem;
}
.warning {
padding: 1rem;
background-color: var(--nord13);
color: var(--nord0);
border-radius: 0.25rem;
margin-bottom: 1rem;
}
</style>
<div class="container">
<h1>🤖 AI Alt Text Generator</h1>
<div class="stats">
<div class="stat-card">
<div class="stat-label">Total Recipes with Images</div>
<div class="stat-value">{stats.totalWithImages}</div>
</div>
<div class="stat-card">
<div class="stat-label">Missing Alt Text</div>
<div class="stat-value">{stats.missingAltText}</div>
</div>
<div class="stat-card">
<div class="stat-label">
Ollama Status
<span class="status-indicator" class:status-ok={stats.ollamaAvailable} class:status-error={!stats.ollamaAvailable}></span>
</div>
<div class="stat-value">{stats.ollamaAvailable ? 'Online' : 'Offline'}</div>
</div>
</div>
{#if !stats.ollamaAvailable}
<div class="warning">
⚠️ Ollama is not running. Please start Ollama with: <code>ollama serve</code>
</div>
{/if}
<div class="controls">
<div class="control-group">
<label for="filter">Filter:</label>
<select id="filter" bind:value={filter}>
<option value="missing">Only Missing Alt Text</option>
<option value="all">All Recipes (Regenerate)</option>
</select>
</div>
<div class="control-group">
<label for="limit">Batch Size:</label>
<input id="limit" type="number" bind:value={limit} min="1" max="100" />
</div>
<button onclick={processBatch} disabled={processing || !stats.ollamaAvailable}>
{processing ? '🔄 Processing...' : '✨ Generate Alt Texts'}
</button>
</div>
{#if error}
<div class="error">{error}</div>
{/if}
{#if results.length > 0}
<div class="results">
<h2>Results</h2>
{#each results as result}
<div class="result-item">
<strong>{result.name}</strong> ({result.shortName})
<br />
Processed: {result.processed} | Failed: {result.failed}
</div>
{/each}
</div>
{/if}
</div>

View File

@@ -0,0 +1,183 @@
import { json, error } from '@sveltejs/kit';
import type { RequestHandler } from './$types';
import { generateAltText, type RecipeContext } from '$lib/server/ai/alttext.js';
import { checkOllamaHealth } from '$lib/server/ai/ollama.js';
import { Recipe } from '$models/Recipe.js';
export const POST: RequestHandler = async ({ request, locals }) => {
// Check authentication
const session = await locals.auth();
if (!session?.user) {
throw error(401, 'Unauthorized');
}
try {
const body = await request.json();
const { filter = 'missing', limit = 10, modelName } = body;
// Check if Ollama is available
const isOllamaAvailable = await checkOllamaHealth();
if (!isOllamaAvailable) {
throw error(503, 'Ollama service is not available. Make sure Ollama is running.');
}
// Build query based on filter
let query: any = { images: { $exists: true, $ne: [] } };
if (filter === 'missing') {
// Find recipes with images but missing alt text
query = {
images: {
$elemMatch: {
mediapath: { $exists: true },
$or: [{ alt: { $exists: false } }, { alt: '' }],
},
},
};
} else if (filter === 'all') {
// Process all recipes with images
query = { images: { $exists: true, $ne: [] } };
}
// Fetch recipes
const recipes = await Recipe.find(query).limit(limit);
if (recipes.length === 0) {
return json({
success: true,
processed: 0,
message: 'No recipes found matching criteria',
});
}
const results: Array<{
shortName: string;
name: string;
processed: number;
failed: number;
}> = [];
// Process each recipe
for (const recipe of recipes) {
let processed = 0;
let failed = 0;
for (let i = 0; i < recipe.images.length; i++) {
const image = recipe.images[i];
// Skip if alt text exists and we're only processing missing ones
if (filter === 'missing' && image.alt) {
continue;
}
try {
// Prepare context
const context: RecipeContext = {
name: recipe.name,
category: recipe.category,
tags: recipe.tags,
};
// Generate alt text
const altTextResult = await generateAltText(
image.mediapath,
context,
modelName || 'gemma3:latest'
);
// Update German alt text
recipe.images[i].alt = altTextResult.de;
// Ensure translations.en.images array exists
if (!recipe.translations) {
recipe.translations = { en: { images: [] } };
}
if (!recipe.translations.en) {
recipe.translations.en = { images: [] };
}
if (!recipe.translations.en.images) {
recipe.translations.en.images = [];
}
// Ensure array has enough entries
while (recipe.translations.en.images.length <= i) {
recipe.translations.en.images.push({ alt: '', caption: '' });
}
// Update English alt text
recipe.translations.en.images[i].alt = altTextResult.en;
processed++;
} catch (err) {
console.error(`Failed to process image ${i} for recipe ${recipe.short_name}:`, err);
failed++;
}
}
// Save recipe if any images were processed
if (processed > 0) {
await recipe.save();
}
results.push({
shortName: recipe.short_name,
name: recipe.name,
processed,
failed,
});
}
return json({
success: true,
processed: results.reduce((sum, r) => sum + r.processed, 0),
failed: results.reduce((sum, r) => sum + r.failed, 0),
results,
});
} catch (err) {
console.error('Error in bulk alt text generation:', err);
if (err instanceof Error && 'status' in err) {
throw err;
}
throw error(500, err instanceof Error ? err.message : 'Failed to generate alt text');
}
};
/**
* GET endpoint to check status and get stats
*/
export const GET: RequestHandler = async ({ locals }) => {
// Check authentication
const session = await locals.auth();
if (!session?.user) {
throw error(401, 'Unauthorized');
}
try {
// Count recipes with missing alt text
const totalWithImages = await Recipe.countDocuments({
images: { $exists: true, $ne: [] },
});
const missingAltText = await Recipe.countDocuments({
images: {
$elemMatch: {
mediapath: { $exists: true },
$or: [{ alt: { $exists: false } }, { alt: '' }],
},
},
});
// Check Ollama health
const ollamaAvailable = await checkOllamaHealth();
return json({
totalWithImages,
missingAltText,
ollamaAvailable,
});
} catch (err) {
throw error(500, 'Failed to fetch statistics');
}
};

View File

@@ -0,0 +1,94 @@
import { json, error } from '@sveltejs/kit';
import type { RequestHandler } from './$types';
import { generateAltText, type RecipeContext } from '$lib/server/ai/alttext.js';
import { checkOllamaHealth } from '$lib/server/ai/ollama.js';
import { Recipe } from '$models/Recipe.js';
export const POST: RequestHandler = async ({ request, locals }) => {
// Check authentication
const session = await locals.auth();
if (!session?.user) {
throw error(401, 'Unauthorized');
}
try {
const body = await request.json();
const { shortName, imageIndex, modelName } = body;
if (!shortName || imageIndex === undefined) {
throw error(400, 'Missing required fields: shortName and imageIndex');
}
// Check if Ollama is available
const isOllamaAvailable = await checkOllamaHealth();
if (!isOllamaAvailable) {
throw error(503, 'Ollama service is not available. Make sure Ollama is running.');
}
// Fetch recipe from database
const recipe = await Recipe.findOne({ short_name: shortName });
if (!recipe) {
throw error(404, 'Recipe not found');
}
// Validate image index
if (!recipe.images || !recipe.images[imageIndex]) {
throw error(404, 'Image not found at specified index');
}
const image = recipe.images[imageIndex];
// Prepare context for alt text generation
const context: RecipeContext = {
name: recipe.name,
category: recipe.category,
tags: recipe.tags,
};
// Generate alt text in both languages
const altTextResult = await generateAltText(
image.mediapath,
context,
modelName || 'gemma3:latest'
);
// Update recipe in database
recipe.images[imageIndex].alt = altTextResult.de;
// Ensure translations.en.images array exists and has the right length
if (!recipe.translations) {
recipe.translations = { en: { images: [] } };
}
if (!recipe.translations.en) {
recipe.translations.en = { images: [] };
}
if (!recipe.translations.en.images) {
recipe.translations.en.images = [];
}
// Ensure the en.images array has entries for all images
while (recipe.translations.en.images.length <= imageIndex) {
recipe.translations.en.images.push({ alt: '', caption: '' });
}
// Update English alt text
recipe.translations.en.images[imageIndex].alt = altTextResult.en;
// Save to database
await recipe.save();
return json({
success: true,
altText: altTextResult,
message: 'Alt text generated and saved successfully',
});
} catch (err) {
console.error('Error generating alt text:', err);
if (err instanceof Error && 'status' in err) {
throw err; // Re-throw SvelteKit errors
}
throw error(500, err instanceof Error ? err.message : 'Failed to generate alt text');
}
};