File size: 2,695 Bytes
7e2b836 0cf76d9 7e2b836 0cf76d9 7e2b836 0cf76d9 7e2b836 0cf76d9 7e2b836 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | # src/ — Source Code
## Structure
```
src/
├── app.py # Flask application — routes + pipeline orchestration
├── model_loader.py # Model loading (Spelling, Grammar, Summarization, Autocomplete)
├── hf_inference.py # HuggingFace API inference wrappers
├── index.html # Main web UI (single-page app)
├── favicon.svg # Site icon
├── css/ # Stylesheets
│ ├── tokens.css # Design tokens (colors, spacing)
│ ├── base.css # Base styles
│ └── components.css # Component styles
├── js/ # Frontend JavaScript modules
│ ├── editor.js # Editor logic, events, debouncing
│ ├── renderer.js # Offset-based highlight rendering
│ ├── selection.js # Cursor/selection save & restore
│ ├── ui.js # Tooltips, suggestion lists, scores
│ ├── api.js # Backend API fetch wrappers
│ ├── format.js # Text formatting
│ ├── theme.js # Theme switching
│ ├── autocomplete.js # Autocomplete UI
│ ├── auth/ # Authentication (Supabase)
│ ├── documents/ # Local document management
│ ├── documents-cloud/ # Cloud document sync
│ ├── summaries/ # Text summarization UI
│ ├── settings-sync/ # Settings sync
│ ├── sync/ # Real-time sync engine
│ └── vendor/ # Third-party libraries
└── nlp/ # NLP pipeline modules
├── spelling/ # AraSpell spelling correction
│ ├── araspell_rules.py
│ └── araspell_service.py
├── grammar/ # Grammar correction
│ ├── grammar_rules.py
│ └── grammar_service.py
├── punctuation/ # Punctuation restoration
│ ├── punctuation_rules.py
│ └── punctuation_service.py
├── autocomplete/ # Text autocomplete
├── dialect/ # Dialect detection
├── pipeline_context.py # Shared pipeline state
├── stage_locker.py # Cross-stage text locking
└── correction_patch.py # Correction patch utilities
```
## API Contract
- **Input**: Arabic text string (UTF-8)
- **Output**: JSON with `corrected`, `suggestions[]` (each with `start`, `end`, `replacement`, `explanation`), and `timing_ms`
## Running
```bash
cd src && gunicorn app:app --bind 0.0.0.0:7860 --timeout 120 --workers 1
``` |