1
0

Dockerfile 1.2 KB

12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152
  1. # syntax=docker/dockerfile:1
  2. FROM node:alpine as build
  3. WORKDIR /app
  4. # wget embedding model weight from alpine (does not exist from slim-buster)
  5. RUN wget "https://chroma-onnx-models.s3.amazonaws.com/all-MiniLM-L6-v2/onnx.tar.gz"
  6. COPY package.json package-lock.json ./
  7. RUN npm ci
  8. COPY . .
  9. RUN npm run build
  10. FROM python:3.11-slim-bookworm as base
  11. ENV ENV=prod
  12. ENV PORT ""
  13. ENV OLLAMA_API_BASE_URL "/ollama/api"
  14. ENV OPENAI_API_BASE_URL ""
  15. ENV OPENAI_API_KEY ""
  16. ENV WEBUI_JWT_SECRET_KEY "SECRET_KEY"
  17. WORKDIR /app
  18. # copy embedding weight from build
  19. RUN mkdir -p /root/.cache/chroma/onnx_models/all-MiniLM-L6-v2
  20. COPY --from=build /app/onnx.tar.gz /root/.cache/chroma/onnx_models/all-MiniLM-L6-v2
  21. RUN cd /root/.cache/chroma/onnx_models/all-MiniLM-L6-v2 &&\
  22. tar -xzf onnx.tar.gz
  23. # copy built frontend files
  24. COPY --from=build /app/build /app/build
  25. WORKDIR /app/backend
  26. COPY ./backend/requirements.txt ./requirements.txt
  27. RUN pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir
  28. RUN pip3 install -r requirements.txt --no-cache-dir
  29. # RUN python -c "from sentence_transformers import SentenceTransformer; model = SentenceTransformer('all-MiniLM-L6-v2')"
  30. COPY ./backend .
  31. CMD [ "sh", "start.sh"]