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.

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.

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.

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 FastAPI endpoint for text generation with request and response models.

refactor: Remove notebook and establish API routing structure.

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 part

correct main

update mcp part

add mcp part

Update chat voice part

Update chat endpoints

Add chat part

Correct version

update services

Uodate stt tts

Add groq apis

Refactor audio processing and chatbot services; enhance STT and TTS functionalities with base64 support and session management

Update files

fix errors

Refactor audio processing to utilize free models and enhance logging; update TTS and STT services for improved functionality

Enhance configuration validation and audio processing limits

add files

Update audio.py

Update codes

Update audio.py

Correct files

Refactor audio models and services for improved error handling and response streaming

add gemini api

Add tts/stt services

Update label files

Add label/KPA-related schemas to models and update documentation in label routes

Update API routes to include label module and add prefix for stance and label endpoints