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

update mcp part

correct main

Update main.py

Update mcp_service.py

Update mcp_service.py

delete mcp part

update mcp part

Update main.py

add mcp part

Update chat voice part

Update chat endpoints

Add chat part

Correct version

Update requirements.txt

update services

Uodate stt tts

CORRECT services

Update stt_service.py

Update main

Update requirements.txt

Update requirements.txt

Update requirements.txt

Update requirements.txt

Update requirements.txt

Update requirements.txt

Update requirements.txt

Update requirements.txt

Add groq apis

Update requirements.txt

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

Refactor ffmpeg installation and enhance logging; add health check endpoints for API status

Update requirements to include additional dependencies and maintain formatting

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