174 lines
8.7 KiB
Markdown
174 lines
8.7 KiB
Markdown
# Image Description AI - Implementation Tasks
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## Task 1: Create Basic HTML Structure and Styling Foundation
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**Objective**: Establish the foundational HTML structure with semantic markup and responsive CSS framework
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**Deliverables**:
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- Complete HTML skeleton with proper DOCTYPE and meta tags
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- Responsive CSS Grid layout system for the main application container
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- Modern color scheme implementation (blues/grays as specified)
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- Typography system with readable fonts and proper spacing
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- Mobile-first responsive breakpoints
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**Acceptance Criteria**:
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- [ ] HTML validates as HTML5 standard
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- [ ] Layout is responsive across mobile (320px+), tablet (768px+), and desktop (1024px+)
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- [ ] Color scheme uses professional blue/gray palette with proper contrast ratios
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- [ ] Typography is legible across all device sizes
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- [ ] Basic layout structure includes: header, main upload area, preview section, results section
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- [ ] CSS is modular with clear section organization (layout, components, utilities)
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## Task 2: Implement File Upload Interface with Drag & Drop
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**Objective**: Create an intuitive file upload interface supporting both drag-and-drop and click-to-browse functionality
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**Deliverables**:
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- Drag-and-drop zone with visual feedback states (drag over, drop, default)
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- Hidden file input element for click-to-browse functionality
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- Visual upload area with icon, instructional text, and file format specifications
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- File type icon display for different image formats
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- Hover and focus states for accessibility
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**Acceptance Criteria**:
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- [ ] Drag-and-drop zone visually responds to drag events with proper styling
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- [ ] Click-to-browse opens file dialog and triggers file selection
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- [ ] Upload area shows clear instructions: "Drag an image here or click to browse"
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- [ ] Supported formats are displayed: JPG, PNG, WebP
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- [ ] Accessibility: Keyboard navigation and screen reader support
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- [ ] Visual feedback on hover/focus with smooth transitions
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## Task 3: Add File Validation and Error Handling System
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**Objective**: Implement comprehensive file validation to ensure only valid images are processed
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**Deliverables**:
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- File type validation (accept only jpg, jpeg, png, webp)
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- File size validation (maximum 5MB with user-friendly error messages)
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- Validation feedback system with clear error messages
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- File metadata extraction (name, size, type)
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- Reset functionality to clear errors and start over
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**Acceptance Criteria**:
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- [ ] Invalid file types show error: "Please select a valid image file (JPG, PNG, WebP)"
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- [ ] Files over 5MB show error: "File size must be less than 5MB"
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- [ ] Error messages display in red text below upload area
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- [ ] Successful validation clears previous errors
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- [ ] Validation occurs immediately upon file selection
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- [ ] Files with valid extensions but invalid content are caught
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- [ ] Reset button clears all errors and upload area state
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## Task 4: Implement Image Preview Functionality
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**Objective**: Display uploaded image with proper sizing and formatting for user confirmation
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**Deliverables**:
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- Image preview container with proper aspect ratio handling
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- Image resizing and optimization for preview (max 400px width/height)
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- Base64 encoding of the selected image for API submission
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- Metadata display (filename, file size, dimensions)
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- Replace/change image functionality
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**Acceptance Criteria**:
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- [ ] Image preview displays within 2 seconds of file selection
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- [ ] Preview maintains aspect ratio without distortion
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- [ ] Large images are scaled appropriately for preview
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- [ ] Base64 encoding completes successfully and is stored in memory
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- [ ] Image metadata is extracted and displayed (filename, size in MB, dimensions)
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- [ ] "Change Image" button allows uploading a different file
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- [ ] Preview clears when starting over
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## Task 5: Integrate Minimax API for Image Description Generation
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**Objective**: Connect to Minimax API and implement the core AI description generation functionality
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**Deliverables**:
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- API request construction with proper payload format
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- Base64 image embedding in the request body
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- Proper error handling for network issues and API responses
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- Response parsing and extraction of the AI-generated description
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- API key management (client-side with security notes)
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**Acceptance Criteria**:
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- [ ] API request uses correct endpoint: `https://api.minimax.io/v1/text/chatcompletion_v2`
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- [ ] Request payload includes model: "MiniMax-M2"
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- [ ] Base64 image is properly formatted in the messages array
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- [ ] Prompt "Please provide a detailed description of this image in English" is included
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- [ ] Successful API response extracts the description text
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- [ ] API errors are handled gracefully with user-friendly messages
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- [ ] Network timeouts are handled with appropriate error messaging
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- [ ] Loading state is shown during API calls
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## Task 6: Create Loading States and User Feedback System
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**Objective**: Implement comprehensive loading and feedback mechanisms to enhance user experience
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**Deliverables**:
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- Loading spinner and progress indicator during API calls
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- Status messages for different processing stages
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- Button state management (disabled during processing)
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- Timeout handling with user notification
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- Success and error state animations
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**Acceptance Criteria**:
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- [ ] Loading spinner appears immediately when "Generate Description" is clicked
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- [ ] "Generate Description" button is disabled during processing to prevent duplicate requests
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- [ ] Status message shows: "Analyzing image with AI..."
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- [ ] Processing timeout (30 seconds) shows: "Processing is taking longer than expected"
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- [ ] Success animation plays when description is generated
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- [ ] Error state shows appropriate error message with red styling
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- [ ] Loading states have smooth transitions and professional appearance
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## Task 7: Display AI Description Results with Formatting
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**Objective**: Present the AI-generated description in a clean, readable format with additional functionality
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**Deliverables**:
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- Results display area with proper typography and spacing
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- Text formatting and paragraph handling for long descriptions
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- Option to copy description to clipboard
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- "Generate New Description" functionality for the same image
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- "Upload New Image" reset functionality
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- Responsive results layout
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**Acceptance Criteria**:
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- [ ] Description displays in a readable format with proper line breaks
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- [ ] Long descriptions are scrollable if they exceed viewport
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- [ ] "Copy to Clipboard" button works and shows confirmation
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- [ ] "Generate New Description" button triggers new API call
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- [ ] "Upload New Image" button clears all data and returns to upload state
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- [ ] Results area is visually distinct from upload area
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- [ ] Typography is large enough to read comfortably on mobile devices
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## Task 8: Final Polish, Testing, and Production Readiness
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**Objective**: Complete final testing, optimizations, and prepare for immediate browser deployment
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**Deliverables**:
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- Comprehensive error handling for all edge cases
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- Performance optimization for large images and slow networks
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- Cross-browser compatibility testing
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- Accessibility improvements (ARIA labels, keyboard navigation)
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- Final code organization and documentation
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- Single HTML file consolidation with inline CSS and JavaScript
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**Acceptance Criteria**:
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- [ ] Application works in Chrome, Firefox, Safari, and Edge
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- [ ] All functionality works on mobile devices (iOS and Android)
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- [ ] Images up to 5MB process within 30 seconds on average connections
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- [ ] Clear error messages for all failure scenarios (network, API, validation)
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- [ ] Complete keyboard navigation support
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- [ ] ARIA labels and semantic HTML for screen readers
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- [ ] No console errors or warnings
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- [ ] Single HTML file contains all code and loads immediately in any modern browser
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- [ ] Professional appearance with smooth animations and transitions
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- [ ] File size under 50KB for fast loading
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## Implementation Notes
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### Task Dependencies
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- Tasks 1-2 can be implemented in parallel
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- Task 3 depends on Task 2 (validation needs upload interface)
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- Task 4 depends on Task 3 (preview needs validation)
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- Task 5 depends on Task 4 (API needs base64 image)
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- Task 6 depends on Task 5 (loading states during API calls)
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- Task 7 depends on Task 6 (results display after processing)
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- Task 8 depends on all previous tasks (final testing and polish)
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### Technical Considerations
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- Use vanilla JavaScript ES6+ features for modern browser support
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- Implement CSS custom properties for maintainable theming
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- Follow progressive enhancement principles
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- Maintain separation of concerns within the single file
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- Include comprehensive error boundaries
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### Testing Approach
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- Test with various image sizes and formats
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- Test error scenarios (large files, invalid types, network issues)
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- Verify responsive behavior across devices
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- Validate accessibility with screen readers
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- Performance test with slow network connections |