Initial commit: Multilingual Translation API

- Implemented REST API for 105+ language translation
- Used Facebook M2M100 model (Apache 2.0 License - Commercial use allowed)
- Supports any-to-any translation between 105 languages
- Major languages: English, Chinese, Spanish, Arabic, Russian, Japanese, Korean, etc.
- Southeast Asian: Malay, Indonesian, Thai, Vietnamese, Tagalog, Burmese, Khmer, Lao
- South Asian: Bengali, Hindi, Urdu, Tamil, Telugu, Marathi, Gujarati, etc.
- European: German, French, Italian, Spanish, Portuguese, Russian, etc.
- African: Swahili, Amharic, Hausa, Igbo, Yoruba, Zulu, Xhosa
- And many more languages

Tech Stack:
- FastAPI for REST API
- Transformers (Hugging Face) for ML model
- PyTorch for inference
- Docker for containerization
- M2M100 418M parameter model

Features:
- Health check endpoint
- Supported languages listing
- Dynamic language validation
- Model caching for performance
- GPU support (auto-detection)
- CORS enabled for web clients

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

docker-compose.yml

@@ -0,0 +1,21 @@
+version: '3.8'
+
+services:
+  translation-api:
+    build: .
+    container_name: malaysian-translation-api
+    ports:
+      - "8001:8000"
+    environment:
+      - API_HOST=0.0.0.0
+      - API_PORT=8000
+      - MODEL_CACHE_DIR=/app/models
+    volumes:
+      - ./models:/app/models  # Persist downloaded models
+    restart: unless-stopped
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 40s