mlstocks / Dockerfile
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Deploy to Hugging Face Space
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# Stage 1: Build the frontend
FROM node:20 as frontend-builder
WORKDIR /app/frontend
COPY frontend/package*.json ./
RUN npm install
COPY frontend/ ./
RUN npm run build
# Stage 2: Build the backend and serve everything
FROM python:3.11-slim
WORKDIR /app
# Copy backend code
COPY backend/ ./backend
# Corrected: Copy built frontend assets to backend/static (where main.py expects them)
COPY --from=frontend-builder /app/frontend/dist ./backend/static
# Install backend dependencies
# Install uv
COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
# Install backend dependencies using uv into a virtual environment
# We install from the /app/backend directory where pyproject.toml is located
WORKDIR /app/backend
RUN uv venv /app/.venv
RUN uv pip install .
# Reset workdir
WORKDIR /app
# Enable venv
ENV VIRTUAL_ENV=/app/.venv
ENV PATH="/app/.venv/bin:$PATH"
# Environment variables
ENV PORT=7860
ENV FRONTEND_URL=""
ENV PYTHONPATH="/app/backend"
# Expose the port
EXPOSE 7860
# Command to run the application
CMD ["sh", "-c", "uvicorn app.main:app --host 0.0.0.0 --port $PORT"]