Refactor websocket_conversation function to simplify access to app state: remove request parameter and directly use websocket.app for model availability checks and audio processing tasks.
Add project summary documentation for CSM-1B TTS: include detailed overview, core components, technical architecture, features, API structure, system requirements, performance considerations, security features, integration guidelines, future development plans, support and maintenance information, and deployment requirements.
Integrate WhisperX for improved audio transcription and add real-time conversation support: update requirements to include WhisperX, refactor voice cloning to utilize WhisperX, implement WebSocket endpoints for real-time audio processing, and enhance audio transcription capabilities with alignment options.
Improve Hugging Face model download process: add error handling for token login and model download, log success and failure messages, and ensure model is downloaded to the correct directory.
Implement asynchronous database initialization: add init_db function to create collections and indexes in MongoDB, update get_db to support async, and modify main.py to await database initialization during startup.
Enhance application configuration: add MongoDB settings and directory management for audio, text, and temporary files, ensuring necessary directories are created at initialization.
Update requirements and enhance MongoDB connection: add certifi dependency for SSL configuration and modify connection settings for improved security and reliability.
Enhance requirements and refactor migration script: add new dependencies for SQLAlchemy and Alembic, improve MongoDB migration logic with collection creation and indexing, and update logging for better traceability.
Update Dockerfile: remove db_models directory creation and initialization from Dockerfile, streamlining the build process and improving organization by relying on separate model files.
Update Dockerfile: separate database configuration and model definitions into distinct files, improving organization and clarity in the db_models structure while maintaining session management functionality.
Update Dockerfile: consolidate database configuration and model definitions into a single file, enhancing organization and clarity in the db_models structure while maintaining session management functionality.
Update Dockerfile: modify database model definitions to standardize metadata field naming from 'metadata' to 'meta_data', enhancing consistency across models and improving code clarity.
Update Dockerfile: enhance db_models initialization with comprehensive database configuration and session management, including engine and session factory setup, improving database interaction and organization.
Refactor application structure: rename 'models' directory to 'db_models', update import paths across multiple files, and enhance Dockerfile to create and populate the new directory, improving organization and clarity in the codebase.
Refactor Dockerfile: streamline user creation and directory setup, ensure correct ownership for application files, and enhance script permissions for improved build process clarity and security.
Refactor migration script: streamline the database migration process by removing Alembic dependencies, updating logging for clarity, and initializing database tables directly. Enhance error handling for improved debugging during migration execution.
Refactor model structure: update import paths from 'app.modelz' to 'app.models' across multiple files for consistency, remove obsolete 'modelz' directory, and adjust Dockerfile and migration script to reflect these changes, enhancing clarity and organization in the codebase.
Refactor application structure: update model import paths from 'app.model' to 'app.modelz' across multiple files for consistency, and introduce new database models in 'app.modelz.database' to enhance organization and clarity in the codebase.
Refactor imports across application files: update model import paths from 'app.models' to 'app.model' for consistency and clarity, ensuring correct module references throughout the codebase.
Fix Dockerfile: correct path in debug statements to accurately reflect the directory structure of model files, enhancing clarity during the build process.
Enhance Dockerfile: add debug statements to display current and destination directory contents, improving visibility of file structure during the build process.
Refactor Dockerfile: streamline directory creation by removing redundant model paths, prioritize copying the entire app directory, and enhance debug verification for model files.
Update Dockerfile: adjust model file copy paths to include the full directory structure for consistency and improve debug verification by listing copied files in the correct location.
Enhance Dockerfile and migration script: add debug verification for copied files in Dockerfile, and update logging in migrate.py to reflect changes in PYTHONPATH and improve error handling with detailed directory listings on import failure.
Refactor Dockerfile and migration script: adjust directory creation order in Dockerfile for improved clarity, and enhance logging in migrate.py to include current directory and file existence checks for better debugging.
Refactor Dockerfile and migration script: simplify PYTHONPATH configuration in Dockerfile, enhance directory creation, and improve error handling in migrate.py by logging directory contents on import failure.
Refactor Dockerfile and migration scripts: update Dockerfile to use Python slim image, streamline environment variable settings, and enhance permissions handling. Modify migrate.py to improve module path management and error handling, and update run.sh for better directory structure and debugging output.
Refactor app initialization and migration script: make __init__.py intentionally empty for package structure, and update migrate.py to include project root in Python path for improved module accessibility.
Refactor model imports across the application: update import paths from 'app.models' to 'app.model' in multiple files, and remove the now redundant models.py file.
Refactor application imports and migration script: update model import paths in env.py and migrate.py, enhance app initialization in __init__.py, and modify PYTHONPATH in run.sh for improved directory structure.
Update database configuration and add application settings: change SQLite database path in alembic.ini and create a new config.py file for managing application settings with environment variables.
Update Alembic configuration and migration scripts: change script location and version path in alembic.ini, add env.py for migration management, create initial migration script for audiobooks table, and implement migration execution in a new migrate.py script.
Update Dockerfile and application imports: modify PYTHONPATH in Dockerfile and run script to include additional app directory, enhance model imports in audiobook_routes.py and migrations/env.py, and add missing imports in main.py.
Enhance Dockerfile and application structure: set PYTHONPATH in Dockerfile and run script, add __init__.py to app package, and improve model import error handling in migrations/env.py.
Update migration environment and run script: import additional models in env.py, enhance run.sh to create storage directories and initialize SQLite database with alembic migrations.
Refactor Dockerfile: streamline user creation and permissions setup, ensure run script is executable, and improve directory structure for application storage.
Refactor Dockerfile and add run script: streamline multi-stage build, set up application structure, and create a new run script for environment initialization and database migration; update migrations/env.py for improved error handling during model import.
Enhance Docker setup: update docker-entrypoint.sh to set PYTHONPATH, modify Dockerfile to create a proper package structure and adjust permissions for storage and migrations directories; update migrations/env.py to include application root in Python path.
Refactor Docker setup: update docker-compose.yml to define app and db services, adjust ports, and configure environment variables; modify Dockerfile to use Python base image, install necessary dependencies, and set up application structure.