# Chatterbox TTS Migration: Backend Development (FastAPI) **Primary Goal:** Implement the FastAPI backend for TTS dialog generation. **Recent Accomplishments (Phase 1, Step 2 - Speaker Management):** - Created Pydantic models for speaker data (`speaker_models.py`). - Implemented `SpeakerManagementService` (`speaker_service.py`) for CRUD operations on speakers (metadata in `speakers.yaml`, samples in `speaker_samples/`). - Created FastAPI router (`routers/speakers.py`) with endpoints: `GET /api/speakers`, `POST /api/speakers`, `GET /api/speakers/{id}`, `DELETE /api/speakers/{id}`. - Integrated speaker router into the main FastAPI app (`main.py`). - Successfully tested all speaker API endpoints using `curl`. **Current Task (Phase 1, Step 3 - TTS Core):** - **Develop `TTSService` in `backend/app/services/tts_service.py`.** - Focus on `ChatterboxTTS` model loading, inference, and critical memory management. - Define methods for speech generation using speaker samples. - Manage TTS parameters (exaggeration, cfg_weight, temperature). **Next Immediate Steps:** 1. Finalize and test the initial implementation of `TTSService`. 2. Proceed to Phase 1, Step 4: Dialog Processing - Implement `DialogProcessorService` including text splitting logic.