c8802cfc65
- FastAPI 기반 다국어 번역 REST API 서비스 - mBART-50 모델을 사용한 18개 언어 지원 - Docker 및 Docker Compose 설정 포함 - GPU/CPU 지원 - 헬스 체크 및 API 문서 자동 생성 - 외부 접속 지원 (172.30.1.2:8000) 주요 파일: - main.py: FastAPI 애플리케이션 - translator.py: mBART 번역 서비스 - models.py: Pydantic 데이터 모델 - config.py: 환경 설정 - Dockerfile: 최적화된 Docker 이미지 - docker-compose.yml: 간편한 배포 설정 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
56 lines
1.4 KiB
YAML
56 lines
1.4 KiB
YAML
version: '3.8'
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services:
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mbart-api:
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build:
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context: .
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dockerfile: Dockerfile
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container_name: mbart-translation-api
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ports:
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- "8000:8000"
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environment:
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- HOST=0.0.0.0
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- PORT=8000
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- MODEL_NAME=facebook/mbart-large-50-many-to-many-mmt
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- MAX_LENGTH=512
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- DEVICE=cpu # Change to 'cuda' for GPU support
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volumes:
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# Cache HuggingFace models to avoid re-downloading
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- huggingface-cache:/home/appuser/.cache/huggingface
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 60s
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# GPU support (uncomment if you have NVIDIA GPU)
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# mbart-api-gpu:
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# build:
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# context: .
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# dockerfile: Dockerfile
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# container_name: mbart-translation-api-gpu
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# ports:
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# - "8000:8000"
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# environment:
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# - HOST=0.0.0.0
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# - PORT=8000
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# - MODEL_NAME=facebook/mbart-large-50-many-to-many-mmt
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# - MAX_LENGTH=512
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# - DEVICE=cuda
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# volumes:
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# - huggingface-cache:/home/appuser/.cache/huggingface
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# deploy:
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# resources:
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# reservations:
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# devices:
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# - driver: nvidia
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# count: 1
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# capabilities: [gpu]
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# restart: unless-stopped
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volumes:
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huggingface-cache:
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driver: local
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