Refactor app.py and settings.py: Enhance Hugging Face token handling with improved validation and logging

Refactor app.py: Remove PRO_ONLY_MODELS and simplify model info update logic

Refactor app.py: Ensure IS_PRO_ACCOUNT is available and improve comments for clarity

Refactor app.py: Add account status check and warning for PRO-only models in model info update

Refactor settings.py: Implement account type check for HuggingFace API and adjust settings based on account status.

Refactor app.py: Enhance error handling for API requests by adding a specific message for 403 Forbidden errors.

Refactor app.py: Remove redundant button click handlers for automatic knowledge base updates in the UI.

Refactor app.py: Improve layout and organization of Knowledge Base management UI, enhance button functionality, and streamline information retrieval process.

Refactor app.py: Remove unused functions for URL selection and knowledge base updates, and clean up event handlers in the Knowledge Base tab section.

Enhance knowledge base rebuilding functionality: Add method to rebuild knowledge base from selected URLs, improve error handling, and log actions during vector store download process.

Refactor app.py: Clean up imports by removing unused ones and correcting the import path for ChatEvaluator.

Enhance knowledge base update functionality: Add methods to retrieve selected URLs and update the knowledge base with selected sources, improving error handling and logging.

Refactor knowledge base update and vector store download: Simplify URL selection, enhance error handling, and improve temporary directory management in download_vector_store method.

Refactor app.py and dataset.py: Update comments for clarity, enhance download_vector_store method with improved error handling, and streamline vector store download process.

Enhance knowledge base management: Add functions to retrieve and save knowledge base metadata, improve error handling, and update constants for better clarity and functionality.

Refactor README and app.py: Update dataset structure in README, add knowledge base management features in app.py, and implement last update date retrieval in DatasetManager.

Refactor fine-tuning process: Update function to utilize evaluated chat history and improve error handling for training data preparation.

Refactor evaluation interface: Update label for evaluated pairs checkbox and improve documentation for QA pairs dataframe function.

Refactor conversation deletion logic: Simplify annotation file path handling by reducing the number of paths considered for deletion.

Refactor training data export function and add dataset structure repair tool

Refactor conversation deletion logic: Enhance file deletion process for conversations by supporting multiple annotation file paths and updating file retrieval method.

Refactor conversation deletion logic: Update file retrieval method and enhance error handling for dataset access.

Refactor conversation deletion logic: Simplify file retrieval and deletion process for chat files and update annotation file handling.

Refactor conversation deletion logic: Streamline deletion process by utilizing HF API directly and reset evaluator cache after deletion.

Add DATASET_ANNOTATIONS_PATH import and update chat evaluator initialization to use annotations directory

Initialize chat evaluator and create state for evaluator in the interface

tab

Refactor conversation deletion docstrings: Improve clarity and formatting of docstrings for delete_conversation_from_huggingface and delete_conversation functions.

Add conversation deletion functionality: Implement methods to delete conversation files from Hugging Face dataset and local storage, enhancing data management capabilities.

Refactor table selection handler: Enhance row selection logic by passing dataframe as input for improved error handling and clarity

Refactor table selection handler in app.py: Improve row selection logic for clarity and reliability

Evaluated

Refactor evaluation interface in evaluation_interface.py: Update DataFrame columns for clarity in QA pairs display

Refactor Gradio interface in app.py: Change height to row_count for better layout control

Refactor evaluation interface in app.py: Enhance layout and improve visibility of status and report sections

Refactor app.py: Remove debug imports and enhance table styling in Gradio interface

Add pandas import and package version checks in app.py

Add pandas import for data manipulation in app.py

Add pandas import for data manipulation in app.py

Refactor app layout and add repair script for conversation IDs

Generate conversation ID if none exists in respond_and_clear function, ensuring non-null ID for chat history saving

Enhance evaluation interface by adding force reload option, improving data refresh handling, and updating QA pairs display logic

Update user preferences saving method to upload JSON as bytes instead of a string

Enhance system message clarity by adding explicit language instruction and adjust logging level for chat file discovery

Simplify system message by removing redundant translation instruction

Remove empty columns in UI layout for cleaner design

Refactor language detection to simplify implementation and improve reliability

Adjust column scaling in UI layout for improved system prompt visibility

Refactor language detection setup and adjust UI layout for system prompt

Refactor chat history handling to use DATASET_CHAT_HISTORY_PATH and update system message for multilingual support