Add Title analyzer: length, ngrams, keyword coverage, BERT semantic

Add Freq column to N-gram table: comp_occurrence shows how many competitors use the phrase

Fix count_words: isolated logic, total includes stop-words and digits

Clean restore: Smart Window ngrams + compact BM25 mirror loop

BM25 fix: hyphen-to-space in ngrams, sync corpus builder

Dual word count: total (like Word) + significant (SEO weight)

Trigger HF rebuild

BM25 Mirror: generate keywords via generate_ngrams_safe for 100% format match

Fix: count_words significant only, BERT raw text, extended garbage_chars in ngrams

Add Word Count stats block above tabs (General Stats)

Implement smart window N-gram generation: preserve stop words inside phrases

Remove stop words from N-grams generation for cleaner SEO analysis

Add detailed competitor columns to N-gram statistics table

Add Hugging Face Spaces configuration: Dockerfile, app.py, updated README and requirements

Initial commit: SEO AI Editor MVP with BERT, BM25 and N-gram analysis