- Add purple/indigo gradient background throughout app
- Implement glass morphism effects on all cards
- Add gradient buttons with smooth hover animations
- Integrate emoji icons for better visual communication
- Enhance typography with improved font stack
- Add loading spinners and smooth transitions
- Improve color scheme with modern purple/indigo palette
- Add glowing shadows and depth effects
- Maintain responsive design and touch-friendly interactions
- Add 'review' phase to application state
- Add scriptSegments state variable for storing AI-generated segments
- Add isGeneratingScript loading state for script generation
- Implement handleGenerateScript() to call API and transition to review phase
- Implement handleSkipReview() to bypass review and go directly to generation
- Implement handleSegmentChange() to update speaker assignments in segments
- Update handleGenerate() to use edited segments when available
- Wire up ScriptReviewSection component in review phase
- Update phase transitions: input → assignment → review → generated
- Add loading indicator for script generation
Validates Requirements: 15.1, 15.3, 15.6, 15.7, 15.8
Task: 22. Update App component for script review workflow
- Created ScriptReviewSection component with script segment display
- Added speaker dropdown for each segment to allow editing assignments
- Implemented Generate Audiobook and Skip Review buttons
- Styled for readability and mobile responsiveness with Tailwind CSS
- Text segments displayed as read-only (only speaker assignment is editable)
- Follows existing component patterns from VoiceAssignmentSection
- Validates Requirements 15.3, 15.4, 15.5, 15.6, 15.8
- Added ScriptRequest, ScriptResponse, and ScriptSegment Pydantic models
- Created /api/tts/script POST endpoint in main.py
- Integrated with TTSService to generate script segments using AI
- Added generate_script_segments method to TTSService
- Returns segments with unique IDs for frontend tracking
- Handles errors gracefully when AI segmentation fails
- Falls back to pattern-based segmentation when Ollama unavailable
- Added comprehensive tests for the endpoint
- Validates: Requirements 15.1, 15.2
- Added Requirement 14 for intelligent speaker detection using Ollama/llama3:8B
- Updated design document with OllamaService component and integration details
- Added 4 new correctness properties for Ollama functionality
- Added tasks 15-17 for implementing Ollama integration
- Updated technology stack to include httpx and Ollama
- Added error handling guidelines for Ollama integration
- Configured fallback to pattern-based detection when Ollama unavailable
This enhancement allows users to paste raw dialogue text without manual role markers.
The system will use AI to intelligently detect speakers, making the tool more user-friendly.
- Updated main README with detailed setup, Kokoro model configuration, and troubleshooting
- Enhanced backend README with API documentation, Docker setup, and testing instructions
- Improved frontend README with component details, deployment guide, and development tips
- Added workflow testing steps and common error solutions
- Documented all supported languages, voices, and configuration options
Implements task 14 from text-to-audiobook spec
Requirements: 13.1, 13.2, 13.3, 13.4, 13.5
- Applied Tailwind CSS responsive classes across all components
- Implemented mobile-first design approach with breakpoints (sm, md, lg)
- Added touch-friendly interactions with min-h-[44px] touch targets
- Enhanced App.tsx with responsive padding, headings, and alerts
- Updated TextInputSection with responsive textarea and full-width mobile button
- Improved VoiceAssignmentSection with flexible layouts and mobile-optimized controls
- Enhanced AudioPlayerSection with responsive sizing and touch support
- Added custom CSS for range slider with larger thumb for mobile
- Improved select dropdowns with visible arrows and proper padding
- Added touch-manipulation class to prevent double-tap zoom
- Added active states for better mobile feedback
- Updated index.html with proper title and meta description
- Created RESPONSIVE_IMPROVEMENTS.md documentation
Requirements: 12.1, 12.2, 12.3, 12.4
- Created VoiceAssignmentSection component with role-to-voice mapping
- Added language selector with American English, British English, French, Japanese
- Added speed slider (0.5x - 1.5x range)
- Implemented Generate Audiobook button with proper disabled state
- Integrated component into App.tsx with state management
- Added role detection API call on text submission
- Validates all roles have assigned voices before enabling generation
Requirements: 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 4.1, 4.2, 4.3, 4.4, 5.1, 5.2, 5.3
- Create TypeScript interfaces (Role, RoleWithVoice, RolesResponse, GenerateRequest)
- Implement detectRoles() function for role detection
- Implement generateAudiobook() function for audio generation
- Implement checkHealth() function for backend health checks
- Add comprehensive error handling for network failures
- Use VITE_API_BASE_URL environment variable for configuration
- Add ApiError class for structured error handling
Requirements: 9.6, 9.7
- Vite project with React and TypeScript initialized
- TypeScript configured with strict mode enabled
- Tailwind CSS set up for styling
- Component and API directory structure created
- Environment variables configured (.env with VITE_API_BASE_URL)
- Build and dev server verified working
Requirements: 9.6, 12.3
- Add POST /api/tts endpoint with full request validation
- Validate text, language code, speed range, and roles list
- Integrate TTSService to generate multi-voice audiobooks
- Fix Kokoro pipeline generator handling to properly collect audio
- Stream audio response with correct Content-Type (audio/wav)
- Add Content-Disposition header with filename (audiobook.wav)
- Handle errors gracefully with appropriate HTTP status codes
- Add comprehensive test suite for endpoint validation
Requirements: 6.1, 6.7, 6.8, 9.5
- Created FastAPI application with CORS middleware
- Defined Pydantic models (RoleDetectionRequest, RolesResponse, TTSRequest, ErrorResponse)
- Implemented /api/health endpoint
- Set up error handling middleware for validation and general exceptions
- Configured logging with INFO level
- Added test script to verify API functionality
- Validates Requirements: 9.1, 9.2, 9.4
- Created backend directory with FastAPI project structure
- Created frontend directory with React + TypeScript + Vite
- Configured Python virtual environment and installed dependencies (fastapi, uvicorn, kokoro, soundfile, python-multipart)
- Verified espeak-ng system dependency is installed
- Configured Node.js project with TypeScript, React, and Vite
- Set up Tailwind CSS for styling
- Set up environment variable configuration for both projects
- Created comprehensive README documentation
Requirements: 9.6, 10.2, 11.1
