feat: Integrate Topic Extraction service into API lifecycle, enhancing initialization and health check reporting. Update routes and logging for improved visibility of topic extraction functionality.

feat: Add extract_topic and voice_chat tools to MCP service, enhancing functionality for topic extraction and chatbot responses. Update models and routes to support new features.

refactor: Update file path handling in TopicSimilarityService for improved error reporting and ensure absolute paths for topic and embeddings cache files

test

feat: Add topic similarity service using Google Generative AI embeddings, enabling improved topic matching and similarity analysis. Update topic extraction logic to utilize this service and enhance overall functionality.

refactor: Simplify topic extraction logic in TopicService by removing Pydantic schema, enhancing JSON response handling, and adding fuzzy matching for improved topic validation.

feat: Introduce predefined topics list in TopicService and enhance topic extraction logic to validate against this list, ensuring accurate topic matching and improved error handling.

fix: Update topic extraction instructions in TopicService to specify that the main idea should be captured in simple English.

fix: Clarify topic extraction instructions in the TopicService to specify that the output should be a single sentence capturing the main idea.

feat: Enhance analysis endpoints to support JSON body input and CSV file uploads for argument analysis

fix: Update error logging for route loading failures and enhance route debugging with detailed logging of available routes

refactor: Change analysis endpoint prefixes from "" to "analyse" and update related route methods to use "stance"

feat: Add analysis endpoints and service for processing arguments, extracting topics, and predicting stance

feat: Implement user management service with Supabase integration, including user registration, retrieval, and name update endpoints.

feat: Add `GenerateModelManager` for loading Hugging Face generation models and performing text generation.

feat: Implement generation model manager for Hugging Face Seq2Seq models and add a debug script for testing generation.

chore: Update and manage project dependencies.

chore: Update dependencies in requirements.txt.

chore: Manage project dependency protobuf v 3.20.1

chore: update project dependency protobuf v 3.20.3

build: update project dependencies

Update project dependencies.

Merge branch 'main' of https://huggingface.co/spaces/NLP-Debater-Project/FastAPI-Backend-Models

chore: remove default fallback value for HUGGINGFACE_GENERATE_MODEL_ID.

Merge branch 'main' of https://huggingface.co/spaces/NLP-Debater-Project/FastAPI-Backend-Models

Update config.py

Merge branch 'main' of https://huggingface.co/spaces/NLP-Debater-Project/FastAPI-Backend-Models

feat: Add topic-related schemas and API routes for topic management, along with LangChain dependencies in requirements.

feat: Refactor stance detection, keypoint matching, and argument generation to utilize dedicated model managers for improved reliability and response handling

feat: Implement audio transcription and speech generation endpoints with file upload support and improved response handling

feat: Enhance ToolCallRequest and ToolCallResponse models with detailed examples and descriptions for improved clarity and usability in MCP tool calls.

refactor: Remove GenerateArgumentRequest and GenerateArgumentResponse models; update generate_argument endpoint to accept topic and position parameters.

fix: update default Hugging Face generate model ID to `NLP-Debater-Project/kpa-t5-improved`

feat: Introduce FastAPI endpoints for single and batch text generation with Pydantic models and Hugging Face model management.

feat: Add text generation endpoint with corresponding request and response models.

feat: add Pydantic models for text generation requests and responses.

feat: Add FastAPI endpoint for text generation with request and response models.

feat: Add logging, FastAPI imports, and integrate Hugging Face generation model manager.

style: remove redundant comment from kpa_model_manager import.

Merge branch 'main' of https://huggingface.co/spaces/NLP-Debater-Project/FastAPI-Backend-Models

refactor: Remove notebook and establish API routing structure.

Delete kpa-t5-improved.ipynb

Merge branch 'main' of https://huggingface.co/spaces/NLP-Debater-Project/FastAPI-Backend-Models

feat: Add text generation API endpoint with T5 model integration.

Add response models for new MCP tools: DetectStance, MatchKeypoint, TranscribeAudio, GenerateSpeech, and GenerateArgument

Enhance MCP tool performance by implementing asynchronous handling in tool calls

Update MCP tool calls to use asynchronous handling for improved performance and responsiveness

Refactor MCP tool handling to use hardcoded tool definitions and improve return value handling in health check and tool calls

Update expose

Update mcp_service.py