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: 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.

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.

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.

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.

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

Update mcp_service.py

update mcp part

correct main

Update mcp_service.py

Update mcp_service.py

update mcp part

add mcp part

Update chat voice part

Update chat endpoints

Add chat part

Correct version

update services

CORRECT services

Update stt_service.py

Update main

Add groq apis

Refactor requirements and chatbot services; enhance service initialization and error handling for TTS and STT functionalities

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

Update files

Update requirements and refactor STT and chatbot services for improved model loading and error handling

Refactor chatbot and STT services to improve model loading, response generation, and error handling; utilize Hugging Face API for STT functionality

fix errors

update stt

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 codes

Correct files

Update tts_service.py

Update stt_service.py

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

Update gemini_client.py

update env