feat: implement NoteGenerator class for map-reduce transcript summarization with multilingual support

feat: implement NoteGenerator class with map-reduce summarization pipeline for transcripts

feat: implement NoteGenerator for LLM-based transcript summarization with map-reduce pipeline

feat: implement NoteGenerator for LLM-based transcript summarization and add note management routes

feat: add NoteGenerator class for map-reduce transcript summarization via local Qwen or Groq models

feat: implement summarization engine with Pydantic schemas and map-reduce processing pipeline

feat: implement note generation API with background processing, summarization, and topic classification logic.

feat: implement chat API routes, note generation logic, and model loading utilities

feat: add singleton AI model loader and note generation service

feat: implement AI-driven recommendation service and integrate Qwen2.5/mDeBERTa model management into FastAPI lifecycle

feat: implement local model inference with Qwen2.5 and mDeBERTa, and add recommendation system service.

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revert: rollback project files to stable chat backend (commit f1332f7)

feat: complete migration to local llama-cpp GGUF pipeline

fixx

fix

fix: add import time and override HF home cache directory

Resolve pycache conflict and update project files

Resolve pycache conflict and update project files

model

feat: implement YouTube note generation pipeline with task tracking and automated summarization.

feat: implement chat with note backend endpoint and register chat router

fix: cleanup requirements and fix note_generator conflicts

Mt5

feat: implement structured summarization schemas and notes generation API endpoints

feat: implement note_generator module for automated content summarization

feat: add note_generator module to handle automated summarization tasks

feat: implement note summarization module with Groq integration and API routing

Refactor summarization module and update schemas

update

fix: update summarization schema and assemblyai fallback

chore: resolve merge conflicts between local ML router and remote POT server

feat: enforce strict 7-category system and scaffold recommendations API endpoint

update dur

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