离线翻译Offline Translation

curl -X GET https://api.itranslator.cc/v1/offline/models/fanyi-nmt-base \
  -H "Authorization: Bearer YOUR_ACCESS_TOKEN"

# 下载模型
curl -o fanyi-nmt-base.tar.gz \
  -H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
  https://api.itranslator.cc/v1/offline/models/fanyi-nmt-base/download

# 解压到 models 目录
tar -xzf fanyi-nmt-base.tar.gz -C ./models

# 校验文件完整性
sha256sum ./models/fanyi-nmt-base/model.bin

import requests
import tarfile
import io

# 下载模型
resp = requests.get(
    "https://api.itranslator.cc/v1/offline/models/fanyi-nmt-base/download",
    headers={"Authorization": f"Bearer {token}"},
    stream=True
)

with open("fanyi-nmt-base.tar.gz", "wb") as f:
    for chunk in resp.iter_content(chunk_size=8192):
        f.write(chunk)

# 解压
with tarfile.open("fanyi-nmt-base.tar.gz", "r:gz") as tar:
    tar.extractall("./models")

print("✅ 模型下载并解压完成")

curl "https://api.itranslator.cc/v1/offline/models?type=nmt" \
  -H "Authorization: Bearer YOUR_ACCESS_TOKEN"

import requests

resp = requests.get(
    "https://api.itranslator.cc/v1/offline/models?type=nmt",
    headers={"Authorization": f"Bearer {token}"}
)
print(resp.json())

const resp = await fetch("https://api.itranslator.cc/v1/offline/models?type=nmt", {
  headers: { Authorization: `Bearer ${token}` }
});
console.log(await resp.json());

OkHttpClient client = new OkHttpClient();

Request request = new Request.Builder()
    .url("https://api.itranslator.cc/v1/offline/models?type=nmt")
    .header("Authorization", "Bearer " + token)
    .get()
    .build();

Response response = client.newCall(request).execute();
System.out.println(response.body().string());

docker pull itranslator/offline-server:latest
docker run -d \
  --name itranslator-offline \
  -p 8080:8080 \
  -v ./models:/models \
  -e MODEL_PATH=/models/fanyi-nmt-base \
  -e MAX_WORKERS=4 \
  --restart unless-stopped \
  itranslator/offline-server:latest

# 查看服务状态
docker logs -f itranslator-offline

# 本地调用（无需认证）
curl -X POST http://localhost:8080/v1/translate \
  -H "Content-Type: application/json" \
  -d '{"source_lang":"zh","target_lang":"en","text":"你好世界"}'

docker pull itranslator/offline-server:latest-gpu
docker run -d \
  --name itranslator-offline-gpu \
  -p 8080:8080 \
  --gpus all \
  -v ./models:/models \
  -e MODEL_PATH=/models/fanyi-nmt-base \
  -e DEVICE=cuda \
  -e MAX_WORKERS=8 \
  --restart unless-stopped \
  itranslator/offline-server:latest-gpu

# docker-compose.yml
version: "3.8"
services:
  itranslator-offline:
    image: itranslator/offline-server:latest
    ports:
      - "8080:8080"
    volumes:
      - ./models:/models
    environment:
      - MODEL_PATH=/models/fanyi-nmt-base
      - MAX_WORKERS=4
      - LOG_LEVEL=info
    restart: unless-stopped
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8080/health"]
      interval: 30s
      timeout: 10s
      retries: 3

# 启动
docker-compose up -d

curl -X POST http://localhost:8080/v1/translate \
  -H "Content-Type: application/json" \
  -d '{
    "text": "人工智能正在改变世界",
    "source_lang": "zh",
    "target_lang": "en"
  }'