Add print statement to debug model name

updated gemini model

CRITICAL FIX: Unblock event loop to enable real-time SSE progress updates

Add detailed real-time progress messages for better user transparency

Enable multi-user support and fix real-time progress streaming

Add real-time progress updates via Server-Sent Events

Remove upload timeout - allow CPU processing to take as long as needed

Fix upload timeout and suppress warnings

Fix HF Spaces deployment: Install packages globally for non-root access + pre-cache English model

Fix uvicorn permission denied error by setting proper permissions on copied packages

Use multi-stage Docker build to drastically reduce image size and prevent layer bloat

Fix JavaScript error: use correct translation variable name

Add prominent loading indicator for model downloads and fix EasyOCR permission error

Optimize: Remove model pre-download to reduce image size, lazy load at runtime

DEFINITIVE FIX: Create cache directory with 777 permissions before and after model downloads

Fix: Set cache directories to writable /app/.cache to avoid permission errors

Pre-download all 3 embedding models during Docker build to avoid runtime permission errors

Fix: Use port 7860 for Hugging Face Spaces compatibility

Prepare for Hugging Face Spaces deployment

Fix README port references to match actual default port 8001

Optimize cold start with lazy model loading for Render deployment

Simplify branding by removing Docling and AI technology mentions

Replace sliding window with Docling HybridChunker for structure-aware document chunking

Improve UX with prominent API key help and optimized page spacing

Add prominent multilingual capability marketing to UI

Update CLAUDE.md with multilingual RAG architecture documentation

Add multilingual RAG with language-specific embedding models for EN/FR/PT

Add project documentation with corrected Docker port mapping

Add multilingual support with FR/EN/PT language toggle

Fix memory leak by properly cleaning up ChromaDB collections

Initial commit: IntelliDoc AI - RAG document analysis platform