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- Corrected the device name mapping for "P300Cx2" to "p300x2" in docker_utils.py. - Disabled development mode by default in the start_chat_deployment function and DeployView class, ensuring production readiness. - Enhanced the inference API to handle device alias normalization for "p300cx2" and related patterns.
- Removed the default development mode flag from the inference execution arguments. - Introduced a new function to build retry arguments and reasons for improved clarity. - Enhanced error handling to retry the inference execution upon exceptions and failures, providing better logging and progress updates during retries.
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- Enhanced the artifact path resolution logic to prioritize the TT_INFERENCE_ARTIFACT_PATH environment variable if set. - Added a fallback to include the default artifact path in the .artifacts directory, ensuring more robust artifact discovery.
… configuration - Introduced a new function to check access to specific HuggingFace repositories using a provided token, returning detailed status messages. - Updated the environment configuration function to improve user prompts and handling based on the selected mode (easy or full interactive). - Enhanced output messages for better clarity during the configuration process, ensuring users are informed of their setup status.
- Added a new Nginx location block for the collections API to streamline backend requests. - Updated the StreamingMessage component to synchronize the showThinking state with external props. - Improved collections fetching logic in RagManagement to handle unexpected payload shapes more robustly. - Refactored error handling in RagManagement for better clarity on collection processing failures. - Adjusted environment variable checks in SpeechToTextApp for consistency with Vite. - Updated type definitions for timeout references in TypewriterEffect and useDeploymentProgress hooks for better type safety.
- Added a StartupLogger class to create a structured startup log for better tracking of application initialization. - Implemented preflight checks to validate system requirements before startup, including Python version, disk space, memory availability, and Docker Hub connectivity. - Introduced functions to suggest fixes for common Docker and pip-related issues, enhancing user experience during setup.
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