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Aryan Mishra commited on
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dbd4e8b
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Parent(s): 7535e76
Refactor dashboard to native Streamlit UI
Browse filesRemoves custom HTML/CSS theming (`unsafe_allow_html`) from the Streamlit frontend and replaces it with native Streamlit components (titles, bordered containers, progress bars, and markdown). Updates admin/predict pages and shared UI helpers accordingly, including test adjustments to assert title-based rendering. Documentation and changelog were also updated to reflect the pure-Python architecture (Streamlit + FastAPI), and obsolete Nginx SPA proxy config was removed.
- CHANGELOG.md +11 -17
- README.md +63 -54
- coverage.xml +1748 -0
- docker/nginx.conf +0 -31
- docs/SECURITY.md +1 -1
- docs/TECH_STACK.md +6 -17
- docs/architecture.md +12 -25
- frontend/Home.py +0 -3
- frontend/ui.py +34 -169
- frontend/views/admin/batch.py +5 -16
- frontend/views/admin/monitor.py +2 -4
- frontend/views/admin/overview.py +9 -17
- frontend/views/predict.py +5 -13
- tests/web/test_streamlit_app.py +2 -0
CHANGELOG.md
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# Changelog
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## v2.
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### Breaking Changes
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- Streamlit dependency removed from `requirements.txt`
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- Docker Compose file no longer includes the `streamlit` service
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- `Dockerfile.streamlit` deleted
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### What's New
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### Notes
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- Swagger UI at `/docs` is preserved
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- All ML model code, Celery workers, DVC/MLflow integration is unchanged
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# Changelog
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## v2.1.0 - Pure-Python Stack
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### Breaking Changes
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- HTMX, Jinja2, Alpine.js, and Tailwind CSS frontend removed entirely
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- No HTML templates, no inline HTML/CSS, no `unsafe_allow_html` anywhere in the codebase
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- Frontend is a pure-Python Streamlit dashboard at `frontend/` (`streamlit run frontend/Home.py`)
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### What's New
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- Streamlit dashboard restored with native widgets only: Sentiment Analyzer, Batch Analytics, System Monitor
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- Admin section gated behind an optional `ADMIN_PASSWORD`
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- Dashboard talks to the FastAPI backend over HTTP (`API_BASE_URL`, default `http://localhost:8000`)
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- README and docs updated to reflect the Python-only stack
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### Notes
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- API server: `uvicorn api.main:app --reload` on port 8000
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- Dashboard: `streamlit run frontend/Home.py` on port 8501
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- JSON API endpoints at `/predict`, `/batch`, `/status/{job_id}`, `/health`, `/info`, `/metrics`
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- Swagger UI at `/docs` is preserved
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- All ML model code, Celery workers, DVC/MLflow integration is unchanged
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README.md
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[](https://python.org)
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[](https://fastapi.tiangolo.com)
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[](https://dvc.org)
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[](https://mlflow.org)
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[](LICENSE)
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**Analyse product reviews in English, Hindi, and Hinglish — extract aspects and their sentiment in real time.**
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---
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## Quick Start
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```bash
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git clone <repo-url> && cd multilingual-absa
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python -m venv .venv && source .venv/bin/activate
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pip install -
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```
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Open:
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- **
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- **API docs** → [`http://localhost:8000/docs`](http://localhost:8000/docs)
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---
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```
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├──
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│ ├── main.py # Entry point — uvicorn
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│ ├──
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│ ├──
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│ ├── routes/ # API endpoints (predict, batch, health) + HTMX pages
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│ ├── schemas/ # Pydantic models + SQLAlchemy ORM
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│ ├── services/ # ABSA inference pipeline, language detection
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│
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│ ├── base.html # Layout with Alpine.js, Tailwind, HTMX
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│ ├── pages/ # Page templates (predict, batch, monitor)
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│ ├── partials/ # HTMX fragment partials
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│ └── macros/ # Reusable UI macros (badges, icons)
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├── absa/ # Core ML library (pure Python)
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│ ├── data/ # Data loading, preprocessing, augmentation
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│ ├── models/ # Training scripts (ONNX, Transformers, baselines)
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│ ├── evaluation/ # Cross-lingual eval, latency benchmarking
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│ ├── training/ # MLflow experiment tracking
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│ └── utils/ # Path configuration
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├── docker/ # Containerisation
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│ ├── Dockerfile # Production
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│ ├── Dockerfile.prod # Production image (HuggingFace Hub model source)
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│ ├── docker-compose.yml # Full stack: API + worker + DB + Redis + monitoring
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│ └── docker-compose.prod.yml # Production overrides
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├── tests/ # Test suite
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│ ├── api/ # API endpoint tests
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│ ├── web/ #
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│ └── unit/ # Unit tests (bio tagger, lang detect)
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├── scripts/ # Utility scripts
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├── docs/ # Documentation
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├── .env.example # Environment variable template
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├── dvc.yaml # DVC data pipeline
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└── pyproject.toml # Project metadata
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## Architecture
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```
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┌─────────┐
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│
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└─────────┘
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│ (results) │ │ (batch jobs) │ │ + Grafana │
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└───────────┘ └──────────────┘ └──────────────┘
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```
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### Inference Stack
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## Features
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###
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- **Batch
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- **System Monitor** —
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### API (RESTful JSON)
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| `/predict` | POST | Analyse a single review |
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| `/batch` | POST | Upload CSV for bulk analysis |
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| `/status/{job_id}` | GET | Check batch job progress |
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| `/health` | GET | API health check |
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| `/info` | GET | Model metadata |
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### Run Tests
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```bash
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PYTHONPATH=. pytest tests/ -v
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```
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### Run Full Stack (Docker)
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| `DATABASE_URL` | ✅ | PostgreSQL or SQLite connection string |
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| `REDIS_URL` | ✅ | Redis connection for Celery |
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| `CORS_ORIGINS` | ❌ | Allowed CORS origins (default: localhost) |
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| `CSRF_SECRET` | ❌ | Secret for CSRF token signing |
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| `MODEL_PATH` | ❌ | Path to ONNX model directory |
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---
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| Document | Contents |
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|----------|----------|
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| [API](docs/
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| [Architecture](docs/
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| [Deployment](docs/DEPLOYMENT.md) | Production setup, Docker, Railway |
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| [Database](docs/DATABASE.md) | Schema, migrations, query patterns |
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| [Security](docs/SECURITY.md) | Threat model, audit results, mitigations |
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| [Tech Stack](docs/TECH_STACK.md) | Framework versions, rationale, trade-offs |
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---
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[](https://python.org)
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[](https://fastapi.tiangolo.com)
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[](https://streamlit.io)
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[](https://dvc.org)
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[](https://mlflow.org)
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[](LICENSE)
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**Analyse product reviews in English, Hindi, and Hinglish — extract aspects and their sentiment in real time.**
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A pure-Python stack: a Streamlit dashboard on top of a FastAPI JSON API, backed by a multilingual ML pipeline (ONNX inference with a rule-based fallback).
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---
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## Quick Start
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```bash
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git clone <repo-url> && cd multilingual-absa
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python -m venv .venv && source .venv/bin/activate
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pip install -e ".[dev]"
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```
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Start the API (port 8000) and the dashboard (port 8501) in two terminals:
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# Terminal 1 — REST API
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uvicorn api.main:app --reload --host 0.0.0.0 --port 8000
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# Terminal 2 — Streamlit dashboard
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streamlit run frontend/Home.py
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```
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- **Dashboard** → [`http://localhost:8501`](http://localhost:8501)
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- **API docs (Swagger)** → [`http://localhost:8000/docs`](http://localhost:8000/docs)
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---
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```
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├── api/ # FastAPI REST API (pure Python)
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│ ├── main.py # Entry point — uvicorn api.main:app
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│ ├── middleware/ # Rate limiting, metrics, DB deps
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│ ├── routes/ # /predict, /batch, /status, /health, /info
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│ ├── schemas/ # Pydantic models + SQLAlchemy ORM
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│ ├── services/ # ABSA inference pipeline, language detection
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│ └── tasks/ # Celery batch processing workers
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├── src/absa/ # Core ML library (pure Python)
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│ ├── data/ # Loading, preprocessing, augmentation, transliteration
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│ ├── models/ # Training scripts (ONNX, Transformers, baselines)
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│ ├── evaluation/ # Cross-lingual eval, latency benchmarking
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│ ├── training/ # MLflow experiment tracking
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│ └── utils/ # Path configuration
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├── frontend/ # Streamlit dashboard (pure Python, no HTML templates)
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│ ├── Home.py # Entry point — streamlit run frontend/Home.py
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│ ├── absa_client.py # Thin HTTP client for the FastAPI backend
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│ ├── ui.py # Native Streamlit UI helpers
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│ └── views/ # Pages: predict, admin (overview/batch/monitor)
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├── docker/ # Containerisation
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│ ├── Dockerfile # Production API image
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│ ├── Dockerfile.prod # Production image (HuggingFace Hub model source)
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│ ├── docker-compose.yml # Full stack: API + worker + DB + Redis + monitoring
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│ └── docker-compose.prod.yml # Production overrides
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├── tests/ # Test suite
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│ ├── api/ # API endpoint tests
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│ ├── web/ # Streamlit page + client tests
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│ └── unit/ # Unit tests (bio tagger, lang detect)
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├── scripts/ # Utility scripts
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├── monitoring/ # Prometheus + Grafana config
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├── docs/ # Documentation
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├── data/ # Datasets (managed by DVC)
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├── models/ # ONNX model artifacts
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├── .env.example # Environment variable template
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├── dvc.yaml # DVC data pipeline
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└── pyproject.toml # Project metadata
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## Architecture
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```
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┌──────────┐ native Streamlit ┌──────────────────────────────┐
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│ Browser │◄────────────────────►│ Streamlit Dashboard (8501) │
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└──────────┘ │ frontend/ — pure Python UI │
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└──────────────┬───────────────┘
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│ HTTP (httpx)
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┌──────────────▼───────────────┐
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│ FastAPI REST API (8000) │
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│ api/main.py — JSON endpoints │
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└──────────────┬───────────────┘
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│
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┌───────────────────────────┼────────────────────┐
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│ │ │
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┌──────▼──────┐ ┌─────────▼────────┐ ┌────────▼───────┐
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│ PostgreSQL / │ │ Redis / Celery │ │ Prometheus + │
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│ SQLite │ │ (batch jobs) │ │ Grafana │
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│ (results) │ └──────────────────┘ └────────────────┘
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└─────────────┘
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```
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### Inference Stack
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## Features
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### Dashboard (Streamlit)
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- **Sentiment Analyzer** — Real-time aspect/sentiment analysis with confidence bars
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- **Batch Analytics** — CSV upload, async Celery job, live progress, result download
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- **System Monitor** — Health checks, service metadata, auto-refresh diagnostics
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- **Admin Lock** — Optional password-gated admin section (`ADMIN_PASSWORD`)
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### API (RESTful JSON)
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| `/predict` | POST | Analyse a single review |
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| `/batch` | POST | Upload CSV for bulk analysis |
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| `/status/{job_id}` | GET | Check batch job progress |
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| `/download/{job_id}` | GET | Download batch results (CSV) |
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| `/health` | GET | API health check |
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| `/info` | GET | Model metadata |
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| `/metrics` | GET | Prometheus metrics |
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### Run Tests
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```bash
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PYTHONPATH=.:src pytest tests/ -v
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```
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### Run Full Stack (Docker)
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| `DATABASE_URL` | ✅ | PostgreSQL or SQLite connection string |
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| `REDIS_URL` | ✅ | Redis connection for Celery |
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| `CORS_ORIGINS` | ❌ | Allowed CORS origins (default: localhost) |
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| `MODEL_PATH` | ❌ | Path to ONNX model directory |
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| `MAX_BATCH_SIZE` | ❌ | Max reviews per batch job |
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| `ADMIN_PASSWORD` | ❌ | Password for admin dashboard sections |
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| `API_BASE_URL` | ❌ | Base URL the dashboard uses to reach the API |
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---
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| Document | Contents |
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|----------|----------|
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| [API](docs/API_DOCUMENTATION.md) | Full API reference with schemas and examples |
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| [Architecture](docs/architecture.md) | System design, data flow, deployment |
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| [Deployment](docs/DEPLOYMENT.md) | Production setup, Docker, Railway |
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| [Database](docs/DATABASE.md) | Schema, migrations, query patterns |
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| [Security](docs/SECURITY.md) | Threat model, audit results, mitigations |
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| [Tech Stack](docs/TECH_STACK.md) | Framework versions, rationale, trade-offs |
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| [System Design](docs/SYSTEM_DESIGN.md) | End-to-end design and data flow |
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---
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coverage.xml
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|
| 1 |
+
<?xml version="1.0" ?>
|
| 2 |
+
<coverage version="7.14.0" timestamp="1786277891188" lines-valid="1482" lines-covered="432" line-rate="0.2915" branches-covered="0" branches-valid="0" branch-rate="0" complexity="0">
|
| 3 |
+
<!-- Generated by coverage.py: https://coverage.readthedocs.io/en/7.14.0 -->
|
| 4 |
+
<!-- Based on https://raw.githubusercontent.com/cobertura/web/master/htdocs/xml/coverage-04.dtd -->
|
| 5 |
+
<sources>
|
| 6 |
+
<source>/Users/theogengineer/Projects/Multilingual-Absa</source>
|
| 7 |
+
<source>/Users/theogengineer/Projects/Multilingual-Absa/api</source>
|
| 8 |
+
</sources>
|
| 9 |
+
<packages>
|
| 10 |
+
<package name="." line-rate="1" branch-rate="0" complexity="0">
|
| 11 |
+
<classes>
|
| 12 |
+
<class name="__init__.py" filename="__init__.py" complexity="0" line-rate="1" branch-rate="0">
|
| 13 |
+
<methods/>
|
| 14 |
+
<lines/>
|
| 15 |
+
</class>
|
| 16 |
+
<class name="main.py" filename="main.py" complexity="0" line-rate="1" branch-rate="0">
|
| 17 |
+
<methods/>
|
| 18 |
+
<lines>
|
| 19 |
+
<line number="1" hits="1"/>
|
| 20 |
+
<line number="2" hits="1"/>
|
| 21 |
+
<line number="4" hits="1"/>
|
| 22 |
+
<line number="5" hits="1"/>
|
| 23 |
+
<line number="6" hits="1"/>
|
| 24 |
+
<line number="7" hits="1"/>
|
| 25 |
+
<line number="8" hits="1"/>
|
| 26 |
+
<line number="9" hits="1"/>
|
| 27 |
+
<line number="11" hits="1"/>
|
| 28 |
+
<line number="13" hits="1"/>
|
| 29 |
+
<line number="14" hits="1"/>
|
| 30 |
+
<line number="15" hits="1"/>
|
| 31 |
+
<line number="16" hits="1"/>
|
| 32 |
+
<line number="17" hits="1"/>
|
| 33 |
+
<line number="20" hits="1"/>
|
| 34 |
+
<line number="21" hits="1"/>
|
| 35 |
+
<line number="23" hits="1"/>
|
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docker/nginx.conf
DELETED
|
@@ -1,31 +0,0 @@
|
|
| 1 |
-
server {
|
| 2 |
-
listen 80;
|
| 3 |
-
server_name localhost;
|
| 4 |
-
|
| 5 |
-
root /usr/share/nginx/html;
|
| 6 |
-
index index.html;
|
| 7 |
-
|
| 8 |
-
# Security headers
|
| 9 |
-
add_header X-Content-Type-Options "nosniff" always;
|
| 10 |
-
add_header X-Frame-Options "DENY" always;
|
| 11 |
-
add_header X-XSS-Protection "1; mode=block" always;
|
| 12 |
-
add_header Referrer-Policy "strict-origin-when-cross-origin" always;
|
| 13 |
-
add_header Permissions-Policy "camera=(), microphone=(), geolocation=()" always;
|
| 14 |
-
add_header Content-Security-Policy "default-src 'self'; script-src 'self' 'unsafe-inline' https://unpkg.com https://cdn.tailwindcss.com https://cdn.jsdelivr.net; style-src 'self' 'unsafe-inline' https://fonts.googleapis.com; font-src 'self' https://fonts.gstatic.com; connect-src 'self'; img-src 'self' data:; object-src 'none'; base-uri 'self'; form-action 'self'" always;
|
| 15 |
-
|
| 16 |
-
# Single Page App routing
|
| 17 |
-
location / {
|
| 18 |
-
try_files $uri $uri/ /index.html;
|
| 19 |
-
}
|
| 20 |
-
|
| 21 |
-
# Proxy API requests
|
| 22 |
-
location /api/ {
|
| 23 |
-
# Rewrite /api/predict to /predict on the backend
|
| 24 |
-
rewrite ^/api/(.*) /$1 break;
|
| 25 |
-
proxy_pass http://api:8000;
|
| 26 |
-
proxy_set_header Host $host;
|
| 27 |
-
proxy_set_header X-Real-IP $remote_addr;
|
| 28 |
-
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
|
| 29 |
-
proxy_set_header X-Forwarded-Proto $scheme;
|
| 30 |
-
}
|
| 31 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
docs/SECURITY.md
CHANGED
|
@@ -9,7 +9,7 @@
|
|
| 9 |
| HTTPS | ❌ Not enforced | Expects reverse proxy to terminate TLS |
|
| 10 |
| Input Validation | ✅ Partial | Pydantic validation present; no server-side max_length |
|
| 11 |
| SQL Injection | ✅ Protected | SQLAlchemy ORM parameterized queries |
|
| 12 |
-
| XSS | ✅ Protected |
|
| 13 |
| CSRF | ❌ Not implemented | No CSRF middleware; CORS `"*"` mitigates partially |
|
| 14 |
| Secrets Management | ⚠️ Manual | `.env` gitignored; Docker Compose has hardcoded dev creds |
|
| 15 |
| Rate Limiting | ❌ Not implemented | No throttling on any endpoint |
|
|
|
|
| 9 |
| HTTPS | ❌ Not enforced | Expects reverse proxy to terminate TLS |
|
| 10 |
| Input Validation | ✅ Partial | Pydantic validation present; no server-side max_length |
|
| 11 |
| SQL Injection | ✅ Protected | SQLAlchemy ORM parameterized queries |
|
| 12 |
+
| XSS | ✅ Protected | Streamlit dashboard; no raw HTML rendering, user input via native widgets |
|
| 13 |
| CSRF | ❌ Not implemented | No CSRF middleware; CORS `"*"` mitigates partially |
|
| 14 |
| Secrets Management | ⚠️ Manual | `.env` gitignored; Docker Compose has hardcoded dev creds |
|
| 15 |
| Rate Limiting | ❌ Not implemented | No throttling on any endpoint |
|
docs/TECH_STACK.md
CHANGED
|
@@ -7,14 +7,12 @@
|
|
| 7 |
| **Python** | 3.11+ | Runtime | All backend/ML code |
|
| 8 |
| **FastAPI** | 0.111.0 | REST API framework | `api/` routes and middleware |
|
| 9 |
| **Uvicorn** | 0.29.0 | ASGI server | API entry point |
|
| 10 |
-
| **
|
| 11 |
-
| **Vite** | 5.0.0 | Build tool | `dashboard/vite.config.js` |
|
| 12 |
-
| **TailwindCSS** | 3.3.5 | CSS framework | `dashboard/src/index.css` |
|
| 13 |
| **PostgreSQL** | 16 (alpine) | Production database | Docker Compose |
|
| 14 |
| **SQLite** | (built-in) | Development database | `absa.db` |
|
| 15 |
| **Redis** | 7 (alpine) | Celery broker + cache | `api/tasks/` |
|
| 16 |
-
| **Docker** | 27.x | Containerization | `
|
| 17 |
-
| **Docker Compose** | 3.8+ | Orchestration | `
|
| 18 |
|
| 19 |
## ML / AI Stack
|
| 20 |
|
|
@@ -39,7 +37,7 @@
|
|
| 39 |
| Technology | Version | Purpose | Where Used |
|
| 40 |
|------------|---------|---------|------------|
|
| 41 |
| **MLflow** | 2.13.0 | Experiment tracking | `src/training/mlflow_utils.py`, all `src/models/` |
|
| 42 |
-
| **DVC** | 3.51.1 | Data version control | `
|
| 43 |
| **Evidently AI** | 0.4.30 | Data drift monitoring | `scripts/drift_monitor.py` |
|
| 44 |
| **Prometheus** | latest | Metrics collection | `monitoring/prometheus.yml` |
|
| 45 |
| **Grafana** | latest | Dashboard visualization | `monitoring/grafana/dashboards/` |
|
|
@@ -62,24 +60,15 @@
|
|
| 62 |
|
| 63 |
| Technology | Version | Purpose |
|
| 64 |
|------------|---------|---------|
|
| 65 |
-
| **
|
| 66 |
-
| **
|
| 67 |
-
| **react-hot-toast** | 2.4.1 | Toast notifications |
|
| 68 |
-
| **react-dropzone** | 14.2.3 | File upload drag-and-drop |
|
| 69 |
-
| **axios** | 1.6.0 | HTTP client with retry |
|
| 70 |
-
| **recharts** | 2.10.0 | Charts (line, bar, pie/donut) |
|
| 71 |
-
| **lucide-react** | 0.290.0 | Icons |
|
| 72 |
-
| **autoprefixer** | 10.4.16 | CSS vendor prefixes |
|
| 73 |
-
| **postcss** | 8.4.31 | CSS processor |
|
| 74 |
|
| 75 |
## Infrastructure / Deployment
|
| 76 |
|
| 77 |
| Technology | Purpose |
|
| 78 |
|------------|---------|
|
| 79 |
| **Docker** (multi-stage) | Build optimization |
|
| 80 |
-
| **Nginx (alpine)** | SPA serving + API proxy |
|
| 81 |
| **Railway** | API + worker cloud hosting |
|
| 82 |
-
| **Vercel** | Frontend SPA hosting |
|
| 83 |
| **HuggingFace Hub** | Model storage/pull |
|
| 84 |
|
| 85 |
## Version Compatibility Matrix
|
|
|
|
| 7 |
| **Python** | 3.11+ | Runtime | All backend/ML code |
|
| 8 |
| **FastAPI** | 0.111.0 | REST API framework | `api/` routes and middleware |
|
| 9 |
| **Uvicorn** | 0.29.0 | ASGI server | API entry point |
|
| 10 |
+
| **Streamlit** | 1.37.0 | Dashboard frontend (pure Python) | `frontend/` |
|
|
|
|
|
|
|
| 11 |
| **PostgreSQL** | 16 (alpine) | Production database | Docker Compose |
|
| 12 |
| **SQLite** | (built-in) | Development database | `absa.db` |
|
| 13 |
| **Redis** | 7 (alpine) | Celery broker + cache | `api/tasks/` |
|
| 14 |
+
| **Docker** | 27.x | Containerization | `docker/` |
|
| 15 |
+
| **Docker Compose** | 3.8+ | Orchestration | `docker/docker-compose.yml` |
|
| 16 |
|
| 17 |
## ML / AI Stack
|
| 18 |
|
|
|
|
| 37 |
| Technology | Version | Purpose | Where Used |
|
| 38 |
|------------|---------|---------|------------|
|
| 39 |
| **MLflow** | 2.13.0 | Experiment tracking | `src/training/mlflow_utils.py`, all `src/models/` |
|
| 40 |
+
| **DVC** | 3.51.1 | Data version control | `dvc.yaml`, `.dvc/` |
|
| 41 |
| **Evidently AI** | 0.4.30 | Data drift monitoring | `scripts/drift_monitor.py` |
|
| 42 |
| **Prometheus** | latest | Metrics collection | `monitoring/prometheus.yml` |
|
| 43 |
| **Grafana** | latest | Dashboard visualization | `monitoring/grafana/dashboards/` |
|
|
|
|
| 60 |
|
| 61 |
| Technology | Version | Purpose |
|
| 62 |
|------------|---------|---------|
|
| 63 |
+
| **Streamlit** | 1.37.0 | Native dashboard widgets — no HTML templates or JS build step |
|
| 64 |
+
| **httpx** | 0.28.0 | HTTP client talking to the FastAPI backend |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 65 |
|
| 66 |
## Infrastructure / Deployment
|
| 67 |
|
| 68 |
| Technology | Purpose |
|
| 69 |
|------------|---------|
|
| 70 |
| **Docker** (multi-stage) | Build optimization |
|
|
|
|
| 71 |
| **Railway** | API + worker cloud hosting |
|
|
|
|
| 72 |
| **HuggingFace Hub** | Model storage/pull |
|
| 73 |
|
| 74 |
## Version Compatibility Matrix
|
docs/architecture.md
CHANGED
|
@@ -8,9 +8,8 @@ Multilingual ABSA is a production-ready Aspect-Based Sentiment Analysis system s
|
|
| 8 |
|
| 9 |
```mermaid
|
| 10 |
graph TB
|
| 11 |
-
Client[Client Browser
|
| 12 |
-
|
| 13 |
-
Nginx[Nginx Reverse Proxy]
|
| 14 |
API[FastAPI Server]
|
| 15 |
Pipeline[ABSA Pipeline]
|
| 16 |
Lang[Language Detection]
|
|
@@ -23,9 +22,8 @@ graph TB
|
|
| 23 |
Graf[Grafana]
|
| 24 |
MLflow[(MLflow<br/>Experiment Tracking)]
|
| 25 |
|
| 26 |
-
Client -->
|
| 27 |
-
|
| 28 |
-
Nginx --> API
|
| 29 |
API --> Pipeline
|
| 30 |
Pipeline --> Lang
|
| 31 |
Pipeline --> Neural
|
|
@@ -43,10 +41,9 @@ graph TB
|
|
| 43 |
```mermaid
|
| 44 |
graph LR
|
| 45 |
subgraph "Presentation Layer"
|
| 46 |
-
SPA[
|
| 47 |
-
|
| 48 |
-
|
| 49 |
-
RQ[HTMX Polling]
|
| 50 |
end
|
| 51 |
subgraph "API Layer"
|
| 52 |
FAST[FastAPI]
|
|
@@ -98,7 +95,7 @@ graph TB
|
|
| 98 |
subgraph "Docker Compose (Local)"
|
| 99 |
DC_API[API Service<br/>uvicorn:8000]
|
| 100 |
DC_WORKER[Celery Worker]
|
| 101 |
-
DC_DASH[Dashboard<br/>
|
| 102 |
DC_PG[PostgreSQL:5432]
|
| 103 |
DC_REDIS[Redis:6379]
|
| 104 |
DC_PROM[Prometheus:9090]
|
|
@@ -110,10 +107,6 @@ graph TB
|
|
| 110 |
RW_PG[PostgreSQL]
|
| 111 |
RW_REDIS[Redis]
|
| 112 |
end
|
| 113 |
-
subgraph "Vercel (Production)"
|
| 114 |
-
VC_DASH[HTMX Frontend]
|
| 115 |
-
VC_RW_ROUTE[rewrite /api/* -> Railway]
|
| 116 |
-
end
|
| 117 |
|
| 118 |
DC_DASH --> DC_API
|
| 119 |
DC_API --> DC_PG
|
|
@@ -123,8 +116,6 @@ graph TB
|
|
| 123 |
DC_PROM -->|scrape| DC_API
|
| 124 |
DC_GRAF --> DC_PROM
|
| 125 |
|
| 126 |
-
VC_DASH --> VC_RW_ROUTE
|
| 127 |
-
VC_RW_ROUTE --> RW_API
|
| 128 |
RW_API --> RW_PG
|
| 129 |
RW_API --> RW_REDIS
|
| 130 |
RW_WORKER --> RW_REDIS
|
|
@@ -232,12 +223,10 @@ sequenceDiagram
|
|
| 232 |
```mermaid
|
| 233 |
graph TB
|
| 234 |
subgraph "Edge"
|
| 235 |
-
|
| 236 |
-
SSL[TLS Termination]
|
| 237 |
end
|
| 238 |
subgraph "Frontend Hosting"
|
| 239 |
-
FE[
|
| 240 |
-
FE_CDN[Global CDN]
|
| 241 |
end
|
| 242 |
subgraph "Backend Hosting"
|
| 243 |
BE[Railway<br/>Docker Container]
|
|
@@ -254,10 +243,8 @@ graph TB
|
|
| 254 |
MLFLOW[MLflow<br/>SQLite Backend]
|
| 255 |
end
|
| 256 |
|
| 257 |
-
DNS --> SSL
|
| 258 |
SSL --> FE
|
| 259 |
-
FE -->
|
| 260 |
-
FE_CDN --> BE
|
| 261 |
BE --> HEALTH
|
| 262 |
BE --> AUTO
|
| 263 |
BE --> PG
|
|
@@ -277,4 +264,4 @@ graph TB
|
|
| 277 |
| **ONNX INT8 dynamic quantization** | 4x smaller, 4.6x faster than PyTorch with only 1% F1 drop |
|
| 278 |
| **SQLite for dev, PostgreSQL for prod** | Zero-config local dev, production-grade concurrency |
|
| 279 |
| **Celery for batch only** | Single-review inference is fast enough for synchronous response |
|
| 280 |
-
| **
|
|
|
|
| 8 |
|
| 9 |
```mermaid
|
| 10 |
graph TB
|
| 11 |
+
Client[Client Browser]
|
| 12 |
+
DASH[Streamlit Dashboard :8501]
|
|
|
|
| 13 |
API[FastAPI Server]
|
| 14 |
Pipeline[ABSA Pipeline]
|
| 15 |
Lang[Language Detection]
|
|
|
|
| 22 |
Graf[Grafana]
|
| 23 |
MLflow[(MLflow<br/>Experiment Tracking)]
|
| 24 |
|
| 25 |
+
Client --> DASH
|
| 26 |
+
DASH -->|HTTP / JSON| API
|
|
|
|
| 27 |
API --> Pipeline
|
| 28 |
Pipeline --> Lang
|
| 29 |
Pipeline --> Neural
|
|
|
|
| 41 |
```mermaid
|
| 42 |
graph LR
|
| 43 |
subgraph "Presentation Layer"
|
| 44 |
+
SPA[Streamlit Dashboard<br/>frontend/ - pure Python]
|
| 45 |
+
WIDGETS[Native Widgets<br/>No HTML templates]
|
| 46 |
+
CLIENT[httpx API Client]
|
|
|
|
| 47 |
end
|
| 48 |
subgraph "API Layer"
|
| 49 |
FAST[FastAPI]
|
|
|
|
| 95 |
subgraph "Docker Compose (Local)"
|
| 96 |
DC_API[API Service<br/>uvicorn:8000]
|
| 97 |
DC_WORKER[Celery Worker]
|
| 98 |
+
DC_DASH[Streamlit Dashboard<br/>frontend:8501]
|
| 99 |
DC_PG[PostgreSQL:5432]
|
| 100 |
DC_REDIS[Redis:6379]
|
| 101 |
DC_PROM[Prometheus:9090]
|
|
|
|
| 107 |
RW_PG[PostgreSQL]
|
| 108 |
RW_REDIS[Redis]
|
| 109 |
end
|
|
|
|
|
|
|
|
|
|
|
|
|
| 110 |
|
| 111 |
DC_DASH --> DC_API
|
| 112 |
DC_API --> DC_PG
|
|
|
|
| 116 |
DC_PROM -->|scrape| DC_API
|
| 117 |
DC_GRAF --> DC_PROM
|
| 118 |
|
|
|
|
|
|
|
| 119 |
RW_API --> RW_PG
|
| 120 |
RW_API --> RW_REDIS
|
| 121 |
RW_WORKER --> RW_REDIS
|
|
|
|
| 223 |
```mermaid
|
| 224 |
graph TB
|
| 225 |
subgraph "Edge"
|
| 226 |
+
SSL[TLS Termination<br/>Reverse Proxy]
|
|
|
|
| 227 |
end
|
| 228 |
subgraph "Frontend Hosting"
|
| 229 |
+
FE[Streamlit Dashboard<br/>Pure Python]
|
|
|
|
| 230 |
end
|
| 231 |
subgraph "Backend Hosting"
|
| 232 |
BE[Railway<br/>Docker Container]
|
|
|
|
| 243 |
MLFLOW[MLflow<br/>SQLite Backend]
|
| 244 |
end
|
| 245 |
|
|
|
|
| 246 |
SSL --> FE
|
| 247 |
+
FE --> BE
|
|
|
|
| 248 |
BE --> HEALTH
|
| 249 |
BE --> AUTO
|
| 250 |
BE --> PG
|
|
|
|
| 264 |
| **ONNX INT8 dynamic quantization** | 4x smaller, 4.6x faster than PyTorch with only 1% F1 drop |
|
| 265 |
| **SQLite for dev, PostgreSQL for prod** | Zero-config local dev, production-grade concurrency |
|
| 266 |
| **Celery for batch only** | Single-review inference is fast enough for synchronous response |
|
| 267 |
+
| **Streamlit dashboard over the REST API** | Thin, pure-Python UI layer; the dashboard never imports the ML pipeline directly |
|
frontend/Home.py
CHANGED
|
@@ -8,7 +8,6 @@ Navigation split:
|
|
| 8 |
from __future__ import annotations
|
| 9 |
|
| 10 |
import streamlit as st
|
| 11 |
-
from ui import apply_theme
|
| 12 |
|
| 13 |
st.set_page_config(
|
| 14 |
page_title="Multilingual ABSA",
|
|
@@ -17,8 +16,6 @@ st.set_page_config(
|
|
| 17 |
initial_sidebar_state="expanded",
|
| 18 |
)
|
| 19 |
|
| 20 |
-
apply_theme()
|
| 21 |
-
|
| 22 |
analyzer = st.Page(
|
| 23 |
"views/predict.py",
|
| 24 |
title="Sentiment Analyzer",
|
|
|
|
| 8 |
from __future__ import annotations
|
| 9 |
|
| 10 |
import streamlit as st
|
|
|
|
| 11 |
|
| 12 |
st.set_page_config(
|
| 13 |
page_title="Multilingual ABSA",
|
|
|
|
| 16 |
initial_sidebar_state="expanded",
|
| 17 |
)
|
| 18 |
|
|
|
|
|
|
|
| 19 |
analyzer = st.Page(
|
| 20 |
"views/predict.py",
|
| 21 |
title="Sentiment Analyzer",
|
frontend/ui.py
CHANGED
|
@@ -1,4 +1,8 @@
|
|
| 1 |
-
"""Shared UI helpers for the Streamlit dashboard
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
|
| 3 |
from __future__ import annotations
|
| 4 |
|
|
@@ -7,11 +11,11 @@ from typing import Iterable
|
|
| 7 |
|
| 8 |
import streamlit as st
|
| 9 |
|
| 10 |
-
|
| 11 |
-
"positive": "
|
| 12 |
-
"negative": "
|
| 13 |
-
"neutral": "
|
| 14 |
-
"conflict": "
|
| 15 |
}
|
| 16 |
|
| 17 |
LANGUAGE_LABELS: dict[str, str] = {
|
|
@@ -41,172 +45,39 @@ _SAMPLE_REVIEWS: list[dict[str, str]] = [
|
|
| 41 |
]
|
| 42 |
|
| 43 |
|
| 44 |
-
def apply_theme() -> None:
|
| 45 |
-
"""Inject custom CSS: modern gradient hero, cards, badges, spacing."""
|
| 46 |
-
st.markdown(
|
| 47 |
-
"""
|
| 48 |
-
<style>
|
| 49 |
-
:root {
|
| 50 |
-
--absa-primary: #6366f1;
|
| 51 |
-
--absa-primary-2: #8b5cf6;
|
| 52 |
-
--absa-accent: #06b6d4;
|
| 53 |
-
}
|
| 54 |
-
|
| 55 |
-
/* Modern gradient hero banner */
|
| 56 |
-
.absa-hero {
|
| 57 |
-
background: linear-gradient(135deg, #6366f1 0%, #8b5cf6 55%, #06b6d4 100%);
|
| 58 |
-
border-radius: 1.25rem;
|
| 59 |
-
padding: 2.5rem 2.5rem 2rem 2.5rem;
|
| 60 |
-
color: white;
|
| 61 |
-
margin-bottom: 1.5rem;
|
| 62 |
-
box-shadow: 0 10px 30px rgba(99, 102, 241, 0.35);
|
| 63 |
-
}
|
| 64 |
-
.absa-hero h1 { font-size: 2.4rem; font-weight: 800; margin: 0 0 0.4rem 0; letter-spacing: -0.02em; }
|
| 65 |
-
.absa-hero p { font-size: 1.05rem; opacity: 0.92; margin: 0; max-width: 46rem; }
|
| 66 |
-
|
| 67 |
-
/* Action / feature cards */
|
| 68 |
-
.absa-card {
|
| 69 |
-
background: linear-gradient(180deg, #ffffff, #f8fafc);
|
| 70 |
-
border: 1px solid #e2e8f0;
|
| 71 |
-
border-radius: 1rem;
|
| 72 |
-
padding: 1.35rem 1.4rem;
|
| 73 |
-
margin-bottom: 1rem;
|
| 74 |
-
box-shadow: 0 1px 2px rgba(15, 23, 42, 0.04);
|
| 75 |
-
transition: transform 0.15s ease, box-shadow 0.15s ease;
|
| 76 |
-
}
|
| 77 |
-
.absa-card:hover { transform: translateY(-2px); box-shadow: 0 8px 20px rgba(15, 23, 42, 0.08); }
|
| 78 |
-
.absa-card .card-title { font-size: 1.15rem; font-weight: 700; color: #0f172a; margin-bottom: 0.3rem; }
|
| 79 |
-
.absa-card .card-desc { font-size: 0.92rem; color: #475569; margin-bottom: 0.7rem; }
|
| 80 |
-
.absa-card .card-icon { font-size: 1.6rem; margin-bottom: 0.4rem; }
|
| 81 |
-
|
| 82 |
-
/* Aspect result card */
|
| 83 |
-
.absa-result {
|
| 84 |
-
border: 1px solid #e2e8f0;
|
| 85 |
-
border-left: 6px solid #94a3b8;
|
| 86 |
-
border-radius: 0.9rem;
|
| 87 |
-
padding: 1rem 1.2rem;
|
| 88 |
-
margin-bottom: 0.85rem;
|
| 89 |
-
background: #ffffff;
|
| 90 |
-
}
|
| 91 |
-
.absa-result .aspect-name { font-weight: 700; color: #0f172a; font-size: 1.05rem; }
|
| 92 |
-
.absa-result .confidence { color: #64748b; font-size: 0.9rem; margin-top: 0.3rem; }
|
| 93 |
-
|
| 94 |
-
/* Sentiment badge */
|
| 95 |
-
.absa-badge {
|
| 96 |
-
display: inline-block;
|
| 97 |
-
padding: 0.22rem 0.8rem;
|
| 98 |
-
border-radius: 999px;
|
| 99 |
-
font-size: 0.78rem;
|
| 100 |
-
font-weight: 700;
|
| 101 |
-
letter-spacing: 0.04em;
|
| 102 |
-
text-transform: uppercase;
|
| 103 |
-
color: #fff;
|
| 104 |
-
}
|
| 105 |
-
|
| 106 |
-
/* Confidence bar */
|
| 107 |
-
.absa-bar {
|
| 108 |
-
height: 8px;
|
| 109 |
-
border-radius: 999px;
|
| 110 |
-
background: #e2e8f0;
|
| 111 |
-
overflow: hidden;
|
| 112 |
-
margin-top: 0.5rem;
|
| 113 |
-
}
|
| 114 |
-
.absa-bar-fill { height: 100%; border-radius: 999px; }
|
| 115 |
-
|
| 116 |
-
/* Language pill */
|
| 117 |
-
.absa-pill {
|
| 118 |
-
display: inline-block;
|
| 119 |
-
background: #eef2ff;
|
| 120 |
-
color: #4338ca;
|
| 121 |
-
border-radius: 999px;
|
| 122 |
-
padding: 0.15rem 0.7rem;
|
| 123 |
-
font-size: 0.8rem;
|
| 124 |
-
font-weight: 600;
|
| 125 |
-
margin-right: 0.4rem;
|
| 126 |
-
}
|
| 127 |
-
|
| 128 |
-
div[data-testid="stMetric"] {
|
| 129 |
-
background: #ffffff;
|
| 130 |
-
border: 1px solid #e2e8f0;
|
| 131 |
-
border-radius: 0.9rem;
|
| 132 |
-
padding: 0.9rem 1rem;
|
| 133 |
-
box-shadow: 0 1px 2px rgba(15, 23, 42, 0.04);
|
| 134 |
-
}
|
| 135 |
-
|
| 136 |
-
.stButton > button[kind="primary"] {
|
| 137 |
-
background: linear-gradient(135deg, #6366f1, #8b5cf6);
|
| 138 |
-
border: none;
|
| 139 |
-
font-weight: 600;
|
| 140 |
-
}
|
| 141 |
-
|
| 142 |
-
footer { visibility: hidden; }
|
| 143 |
-
</style>
|
| 144 |
-
""",
|
| 145 |
-
unsafe_allow_html=True,
|
| 146 |
-
)
|
| 147 |
-
|
| 148 |
-
|
| 149 |
def hero(title: str, subtitle: str) -> None:
|
| 150 |
-
"""Render
|
| 151 |
-
st.
|
| 152 |
-
|
| 153 |
-
<div class="absa-hero">
|
| 154 |
-
<h1>{title}</h1>
|
| 155 |
-
<p>{subtitle}</p>
|
| 156 |
-
</div>
|
| 157 |
-
""",
|
| 158 |
-
unsafe_allow_html=True,
|
| 159 |
-
)
|
| 160 |
|
| 161 |
|
| 162 |
-
def feature_card(icon: str, title: str, description: str
|
| 163 |
-
"""Render a
|
| 164 |
-
st.
|
| 165 |
-
f""
|
| 166 |
-
|
| 167 |
-
<div class="card-icon">{icon}</div>
|
| 168 |
-
<div class="card-title">{title}</div>
|
| 169 |
-
<div class="card-desc">{description}</div>
|
| 170 |
-
</div>
|
| 171 |
-
""",
|
| 172 |
-
unsafe_allow_html=True,
|
| 173 |
-
)
|
| 174 |
-
|
| 175 |
|
| 176 |
-
def sentiment_badge(sentiment: str) -> str:
|
| 177 |
-
"""HTML for a colored sentiment badge."""
|
| 178 |
-
color = SENTIMENT_COLORS.get(sentiment, "#64748b")
|
| 179 |
-
return f'<span class="absa-badge" style="background:{color};">{sentiment}</span>'
|
| 180 |
|
| 181 |
-
|
| 182 |
-
|
| 183 |
-
"
|
| 184 |
-
color = SENTIMENT_COLORS.get(sentiment, "#64748b")
|
| 185 |
-
pct = max(0.0, min(100.0, float(confidence) * 100.0))
|
| 186 |
-
return (
|
| 187 |
-
f'<div class="absa-result" style="border-left-color:{color};">'
|
| 188 |
-
f'<div class="aspect-name">{aspect} {sentiment_badge(sentiment)}</div>'
|
| 189 |
-
f'<div class="confidence">Confidence: {confidence:.2f}</div>'
|
| 190 |
-
f'<div class="absa-bar"><div class="absa-bar-fill" style="width:{pct:.1f}%;background:{color};"></div></div>'
|
| 191 |
-
f"</div>"
|
| 192 |
-
)
|
| 193 |
|
| 194 |
|
| 195 |
def render_aspects(aspects: Iterable[dict]) -> None:
|
| 196 |
-
"""Render
|
| 197 |
items = list(aspects)
|
| 198 |
if not items:
|
| 199 |
st.info("No aspects detected in this text.")
|
| 200 |
return
|
| 201 |
-
|
| 202 |
-
|
| 203 |
-
|
| 204 |
-
|
| 205 |
-
|
| 206 |
-
|
| 207 |
-
|
| 208 |
-
|
| 209 |
-
|
| 210 |
|
| 211 |
|
| 212 |
def language_options() -> list[str]:
|
|
@@ -230,16 +101,10 @@ def require_admin() -> bool:
|
|
| 230 |
if st.session_state.get("admin_ok"):
|
| 231 |
return True
|
| 232 |
|
|
|
|
| 233 |
st.markdown(
|
| 234 |
-
""
|
| 235 |
-
|
| 236 |
-
<div style="font-size:2.5rem;">🔒</div>
|
| 237 |
-
<h2>Admin access</h2>
|
| 238 |
-
<p style="color:#64748b;">This section is restricted. Enter the admin
|
| 239 |
-
password to view application status and features.</p>
|
| 240 |
-
</div>
|
| 241 |
-
""",
|
| 242 |
-
unsafe_allow_html=True,
|
| 243 |
)
|
| 244 |
candidate = st.text_input("Admin password", type="password", key="admin_password")
|
| 245 |
if st.button("Unlock", type="primary", key="admin_unlock"):
|
|
|
|
| 1 |
+
"""Shared UI helpers for the Streamlit dashboard.
|
| 2 |
+
|
| 3 |
+
This module uses only native Streamlit components and Markdown — no inline
|
| 4 |
+
HTML or CSS. Styling is delegated to Streamlit's built-in theming.
|
| 5 |
+
"""
|
| 6 |
|
| 7 |
from __future__ import annotations
|
| 8 |
|
|
|
|
| 11 |
|
| 12 |
import streamlit as st
|
| 13 |
|
| 14 |
+
SENTIMENT_EMOJI: dict[str, str] = {
|
| 15 |
+
"positive": "🟢",
|
| 16 |
+
"negative": "🔴",
|
| 17 |
+
"neutral": "⚪",
|
| 18 |
+
"conflict": "🟣",
|
| 19 |
}
|
| 20 |
|
| 21 |
LANGUAGE_LABELS: dict[str, str] = {
|
|
|
|
| 45 |
]
|
| 46 |
|
| 47 |
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 48 |
def hero(title: str, subtitle: str) -> None:
|
| 49 |
+
"""Render a page header using native Streamlit elements."""
|
| 50 |
+
st.title(title)
|
| 51 |
+
st.markdown(subtitle)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 52 |
|
| 53 |
|
| 54 |
+
def feature_card(icon: str, title: str, description: str) -> None:
|
| 55 |
+
"""Render a feature summary as a native bordered container."""
|
| 56 |
+
with st.container(border=True):
|
| 57 |
+
st.markdown(f"**{icon} {title}**")
|
| 58 |
+
st.write(description)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 59 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 60 |
|
| 61 |
+
def sentiment_label(sentiment: str) -> str:
|
| 62 |
+
"""Human-friendly label for a sentiment class."""
|
| 63 |
+
return f"{SENTIMENT_EMOJI.get(sentiment, '⚪')} {sentiment.capitalize()}"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 64 |
|
| 65 |
|
| 66 |
def render_aspects(aspects: Iterable[dict]) -> None:
|
| 67 |
+
"""Render aspect results as native bordered cards with a confidence bar."""
|
| 68 |
items = list(aspects)
|
| 69 |
if not items:
|
| 70 |
st.info("No aspects detected in this text.")
|
| 71 |
return
|
| 72 |
+
for item in items:
|
| 73 |
+
aspect = str(item.get("aspect", "N/A"))
|
| 74 |
+
sentiment = str(item.get("sentiment", "neutral"))
|
| 75 |
+
confidence = float(item.get("confidence", 0.0))
|
| 76 |
+
with st.container(border=True):
|
| 77 |
+
col_name, col_sent = st.columns([3, 1])
|
| 78 |
+
col_name.markdown(f"**{aspect}**")
|
| 79 |
+
col_sent.markdown(sentiment_label(sentiment))
|
| 80 |
+
st.progress(confidence, text=f"Confidence: {confidence:.2f}")
|
| 81 |
|
| 82 |
|
| 83 |
def language_options() -> list[str]:
|
|
|
|
| 101 |
if st.session_state.get("admin_ok"):
|
| 102 |
return True
|
| 103 |
|
| 104 |
+
st.title("🔒 Admin access")
|
| 105 |
st.markdown(
|
| 106 |
+
"This section is restricted. Enter the admin password to view "
|
| 107 |
+
"application status and features."
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 108 |
)
|
| 109 |
candidate = st.text_input("Admin password", type="password", key="admin_password")
|
| 110 |
if st.button("Unlock", type="primary", key="admin_unlock"):
|
frontend/views/admin/batch.py
CHANGED
|
@@ -8,9 +8,7 @@ import time
|
|
| 8 |
import pandas as pd
|
| 9 |
import streamlit as st
|
| 10 |
from absa_client import get_client
|
| 11 |
-
from ui import
|
| 12 |
-
|
| 13 |
-
apply_theme()
|
| 14 |
|
| 15 |
if not require_admin():
|
| 16 |
st.stop()
|
|
@@ -29,19 +27,10 @@ with col_up:
|
|
| 29 |
uploaded = st.file_uploader("Upload a CSV file", type=["csv"], accept_multiple_files=False)
|
| 30 |
|
| 31 |
with col_hint:
|
| 32 |
-
st.
|
| 33 |
-
""
|
| 34 |
-
|
| 35 |
-
|
| 36 |
-
<div class="card-desc">A CSV with a <code>text</code> column. Limits:</div>
|
| 37 |
-
<ul>
|
| 38 |
-
<li>Max 10,000 rows</li>
|
| 39 |
-
<li>Max 50 MB</li>
|
| 40 |
-
</ul>
|
| 41 |
-
</div>
|
| 42 |
-
""",
|
| 43 |
-
unsafe_allow_html=True,
|
| 44 |
-
)
|
| 45 |
|
| 46 |
df_preview = None
|
| 47 |
if uploaded is not None:
|
|
|
|
| 8 |
import pandas as pd
|
| 9 |
import streamlit as st
|
| 10 |
from absa_client import get_client
|
| 11 |
+
from ui import hero, require_admin
|
|
|
|
|
|
|
| 12 |
|
| 13 |
if not require_admin():
|
| 14 |
st.stop()
|
|
|
|
| 27 |
uploaded = st.file_uploader("Upload a CSV file", type=["csv"], accept_multiple_files=False)
|
| 28 |
|
| 29 |
with col_hint:
|
| 30 |
+
with st.container(border=True):
|
| 31 |
+
st.markdown("**Required format**")
|
| 32 |
+
st.write("A CSV with a `text` column. Limits:")
|
| 33 |
+
st.markdown("- Max 10,000 rows\n- Max 50 MB")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 34 |
|
| 35 |
df_preview = None
|
| 36 |
if uploaded is not None:
|
frontend/views/admin/monitor.py
CHANGED
|
@@ -4,9 +4,7 @@ from __future__ import annotations
|
|
| 4 |
|
| 5 |
import streamlit as st
|
| 6 |
from absa_client import get_client
|
| 7 |
-
from ui import
|
| 8 |
-
|
| 9 |
-
apply_theme()
|
| 10 |
|
| 11 |
if not require_admin():
|
| 12 |
st.stop()
|
|
@@ -46,7 +44,7 @@ col_c.metric("Languages", "en · hi · hinglish")
|
|
| 46 |
|
| 47 |
st.caption(
|
| 48 |
"Tip: run the API with `uvicorn api.main:app --port 8000` and this "
|
| 49 |
-
"dashboard with `streamlit run
|
| 50 |
)
|
| 51 |
|
| 52 |
if auto_refresh:
|
|
|
|
| 4 |
|
| 5 |
import streamlit as st
|
| 6 |
from absa_client import get_client
|
| 7 |
+
from ui import hero, require_admin
|
|
|
|
|
|
|
| 8 |
|
| 9 |
if not require_admin():
|
| 10 |
st.stop()
|
|
|
|
| 44 |
|
| 45 |
st.caption(
|
| 46 |
"Tip: run the API with `uvicorn api.main:app --port 8000` and this "
|
| 47 |
+
"dashboard with `streamlit run frontend/Home.py`."
|
| 48 |
)
|
| 49 |
|
| 50 |
if auto_refresh:
|
frontend/views/admin/overview.py
CHANGED
|
@@ -4,9 +4,7 @@ from __future__ import annotations
|
|
| 4 |
|
| 5 |
import streamlit as st
|
| 6 |
from absa_client import get_client
|
| 7 |
-
from ui import
|
| 8 |
-
|
| 9 |
-
apply_theme()
|
| 10 |
|
| 11 |
if not require_admin():
|
| 12 |
st.stop()
|
|
@@ -82,17 +80,11 @@ with col_c:
|
|
| 82 |
"Health checks, service metadata, and auto-refresh diagnostics.",
|
| 83 |
)
|
| 84 |
|
| 85 |
-
st.
|
| 86 |
-
""
|
| 87 |
-
|
| 88 |
-
|
| 89 |
-
|
| 90 |
-
|
| 91 |
-
|
| 92 |
-
|
| 93 |
-
<code>GET /status/{job_id}</code> · <code>GET /health</code> ·
|
| 94 |
-
<code>GET /info</code> · <code>GET /metrics</code>
|
| 95 |
-
</div>
|
| 96 |
-
""",
|
| 97 |
-
unsafe_allow_html=True,
|
| 98 |
-
)
|
|
|
|
| 4 |
|
| 5 |
import streamlit as st
|
| 6 |
from absa_client import get_client
|
| 7 |
+
from ui import feature_card, hero, require_admin
|
|
|
|
|
|
|
| 8 |
|
| 9 |
if not require_admin():
|
| 10 |
st.stop()
|
|
|
|
| 80 |
"Health checks, service metadata, and auto-refresh diagnostics.",
|
| 81 |
)
|
| 82 |
|
| 83 |
+
with st.container(border=True):
|
| 84 |
+
st.markdown("**REST API**")
|
| 85 |
+
st.write("All dashboard features are backed by the JSON API at `/docs`:")
|
| 86 |
+
st.code(
|
| 87 |
+
"POST /predict · POST /batch\n"
|
| 88 |
+
"GET /status/{job_id} · GET /health\n"
|
| 89 |
+
"GET /info · GET /metrics"
|
| 90 |
+
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
frontend/views/predict.py
CHANGED
|
@@ -8,22 +8,14 @@ from __future__ import annotations
|
|
| 8 |
|
| 9 |
import streamlit as st
|
| 10 |
from absa_client import get_client
|
| 11 |
-
from ui import LANGUAGE_LABELS,
|
| 12 |
|
| 13 |
client = get_client()
|
| 14 |
-
apply_theme()
|
| 15 |
|
| 16 |
-
|
| 17 |
-
""
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
<p style="color:#64748b;font-size:1.05rem;margin-top:0.4rem;">
|
| 21 |
-
Paste a review or comment in English, Hindi, or Hinglish and get
|
| 22 |
-
aspect-level sentiment instantly.
|
| 23 |
-
</p>
|
| 24 |
-
</div>
|
| 25 |
-
""",
|
| 26 |
-
unsafe_allow_html=True,
|
| 27 |
)
|
| 28 |
|
| 29 |
# ── Input ─────────────────────────────────────────────────────────────────────
|
|
|
|
| 8 |
|
| 9 |
import streamlit as st
|
| 10 |
from absa_client import get_client
|
| 11 |
+
from ui import LANGUAGE_LABELS, hero, language_options, render_aspects
|
| 12 |
|
| 13 |
client = get_client()
|
|
|
|
| 14 |
|
| 15 |
+
hero(
|
| 16 |
+
"💬 Sentiment Analyzer",
|
| 17 |
+
"Paste a review or comment in English, Hindi, or Hinglish and get "
|
| 18 |
+
"aspect-level sentiment instantly.",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 19 |
)
|
| 20 |
|
| 21 |
# ── Input ─────────────────────────────────────────────────────────────────────
|
tests/web/test_streamlit_app.py
CHANGED
|
@@ -45,6 +45,7 @@ def test_predict_is_clean_input_to_results_view():
|
|
| 45 |
at = AppTest.from_file(os.path.join(ROOT, APP_FILES["predict"]))
|
| 46 |
at.run(timeout=30)
|
| 47 |
rendered = " ".join(str(m.value) for m in at.markdown)
|
|
|
|
| 48 |
assert "Sentiment Analyzer" in rendered
|
| 49 |
assert len(at.text_area) >= 1
|
| 50 |
assert any(b.label == "Analyze Sentiment" for b in at.button)
|
|
@@ -62,6 +63,7 @@ def test_home_navigation_lands_on_analyzer():
|
|
| 62 |
at.run(timeout=30)
|
| 63 |
assert not at.exception
|
| 64 |
rendered = " ".join(str(m.value) for m in at.markdown)
|
|
|
|
| 65 |
assert "Sentiment Analyzer" in rendered
|
| 66 |
|
| 67 |
|
|
|
|
| 45 |
at = AppTest.from_file(os.path.join(ROOT, APP_FILES["predict"]))
|
| 46 |
at.run(timeout=30)
|
| 47 |
rendered = " ".join(str(m.value) for m in at.markdown)
|
| 48 |
+
rendered += " " + " ".join(str(t.value) for t in at.title)
|
| 49 |
assert "Sentiment Analyzer" in rendered
|
| 50 |
assert len(at.text_area) >= 1
|
| 51 |
assert any(b.label == "Analyze Sentiment" for b in at.button)
|
|
|
|
| 63 |
at.run(timeout=30)
|
| 64 |
assert not at.exception
|
| 65 |
rendered = " ".join(str(m.value) for m in at.markdown)
|
| 66 |
+
rendered += " " + " ".join(str(t.value) for t in at.title)
|
| 67 |
assert "Sentiment Analyzer" in rendered
|
| 68 |
|
| 69 |
|