Refactor dataset.py: Update import path for HuggingFaceEmbeddings, streamline DatasetManager initialization, and enhance download_vector_store method with improved error handling and logging.

Refactor dataset.py: Replace print statements with logger.debug for better logging during upload checks and add error logging for upload failures.

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.

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.

message till history

refacktor chat history

Refactor dataset initialization to use configuration settings for improved maintainability and clarity

Update langchain-huggingface version and adjust imports in dataset and vector_store modules

Refactor save_chat_history and get_chat_history methods for improved logging and consistent data structure

Enhance error handling in DatasetManager by checking for 'messages' or 'history' key in chat data

Refactor DatasetManager to use DATASET_ID for dataset name and improve chat history file handling and validation

Refactor get_chat_history method to improve file handling and logging for chat history retrieval

Add logging for chat history retrieval and error handling in DatasetManager

Update imports and refactor model configuration to use ACTIVE_MODEL for improved clarity and consistency

Enhance download_vector_store method with improved logging, file verification, and streamlined loading of vector store from temporary directory

Add debug logging for vector store file checks in DatasetManager

used only dataset

Refactor vector store loading logic to return the vector store object instead of a string message and enhance error handling during download

Enhance UI for Knowledge Base Management and improve dataset management documentation

Refactor vector store download and loading logic for improved error handling and clarity

fix english 1

Add Hugging Face token validation and improve error handling in chat history saving

Enhance chat history saving by adding directory existence check, improved metadata storage, and explicit error handling during upload

Enhance chat history saving by ensuring complete responses are stored and improving error handling

Add token validation and repository creation for Hugging Face datasets

Refactor dataset loading logic for improved performance and maintainability

Implement DatasetManager for managing Hugging Face dataset structure and chat history