fix: Remove duplicate /api/spelling route causing AssertionError

feat: Enable ContextualCorrector (BERT MLM) for spelling - Pre-download AutoModelForMaskedLM in Dockerfile

feat: Add AraSpell spelling correction endpoint (POST /api/spelling) with lazy model loading - Extract AraSpell pipeline into src/nlp/spelling/ (araspell_rules.py + araspell_service.py) - Pre-download AraBERT encoder-decoder + checkpoint in Dockerfile - Lazy load on first request, contextual=False to save RAM - Update health check to report spelling status

fix: Always load models on import (RENDER/GUNICORN_LOADED env vars not set in HF Spaces)

debug: Add startup error tracking + memory info to debug endpoint

fix: Load summarization model locally with float16 (HF free tier has no outbound DNS)

fix: DNS endpoint discovery - test multiple HF hostnames to find reachable one

fix: Construct RequestParameters with all 6 required args (url, task, model, json, data, headers)

fix: Construct RequestParameters properly using inspect.signature

fix: Try multiple _inner_post calling conventions + inspect signature

fix: Use _inner_post transport from InferenceClient v1.19.0

debug: Deep diagnostics to find InferenceClient internal transport

fix: Back to InferenceClient with correct method signatures + diagnostics

fix: Use requests.post() directly instead of InferenceClient (version compat issue)

fix: Use client.post() for all models, fix summarization params, better error capture

fix: Use huggingface_hub InferenceClient instead of raw urllib (fixes DNS inside HF Spaces)

fix: Add wait_for_model, debug endpoint, and better HF API error handling

feat: Switch all NLP models to HuggingFace Inference API

Fix: Google link failure now falls back to full sign-in instead of error toast

Fix: Guest login navigates to home/landing page instead of editor

authDone Ready for deployment

added light theme and ISLAMIC RAG and fixed the UI/UX issues and added the auth

initial UI

Initial commit: repository skeleton and folder READMEs