feat: integrate wav2vec2 score into score fusion logic

fix: add wav2vec2 result handling and logging in analyze file processing

feat: add Wav2Vec2 detector service to analysis route

fix: adjust confidence calculation and streamline model download logic

feat: adjust confidence range in analysis result and optimize parallel processing for feature extraction, vocal analysis, and CLAP detection

feat: enhance score fusion confidence range and adjust CLAP weight for improved accuracy

feat: enhance analysis result with estimated bitrate and XAI verdict integration

feat: add XAI inference for explainable predictions in analysis results

feat: add XAI explanation models for enhanced interpretability in analysis results

feat: integrate XAI service for enhanced explainability in analysis

feat: extend analysis route to support multiple source types including TikTok, Instagram, SoundCloud, and Twitter

feat: integrate CLAP and FST detection into score fusion process

feat: initialize CLAPDetectorService and FSTClientService in analyze.py

feat: add CLAPDetectorService and FSTClientService imports in analyze.py

fix: enhance analyze endpoint with full audio analysis pipeline and vocal analysis support

fix: update audio processing endpoint to default options to all-off when missing

fix: update audio processing endpoint to accept options as JSON string and validate input

fix: implement rate limiting for audio processing endpoint and improve file size handling

fix: implement rate limiting for analysis endpoints to prevent abuse

fix: enhance API key validation and implement stale IP eviction in rate limiting

fix: standardize error response format and update request payload keys in commend endpoints

fix: enhance error responses in audio processing endpoint with structured details

fix: update analysis and commend endpoints with additional tests and default values

fix: enhance error handling in YouTube analysis and implement API key validation with rate limiting

fix: add analysisMode to AnalysisResult and update decisionSource handling in analyze functions

feat: add duplicate comment prevention and video comment status check endpoints

feat: implement Comment Tracker Service to manage posted video IDs and prevent duplicate comments

refactor: update model version in Gemini AI Service and optimize transcript fetching in YouTube Service

refactor: update model version in Gemini AI Service for improved performance

fix: handle YouTube share URLs with si= parameter

refactor: Update model version in Gemini AI Service for improved performance

refactor: Update model version in content generation for improved performance

refactor: Remove unused imports from commend router

refactor: Clean up and optimize comment generation logic in Gemini AI Service

refactor: Optimize YouTube comment generation by reducing API calls and improving efficiency

refactor: Optimize YouTube comment generation and improve error handling

feat: Enhance YouTube API integration with improved configuration checks and documentation

refactor: Migrate from deprecated google.generativeai to google.genai package

Refine analysis result model and enhance YouTube URL analysis documentation

Add Crown Commend API routes for YouTube comment generation and posting

Add YouTube API service for video details, comments, and posting functionality

Add __init__.py for Crown Commend module with initial documentation

Enhance docstrings in analyze.py for clarity on analysis features, audio info, and response model

Refactor analyze endpoint to improve structure and add detailed response models for YouTube and file analysis

Add unified analysis endpoint for YouTube URLs and file uploads

Initial commit: CrownCode Backend for Hugging Face Spaces