janrakshak-ml-api / Dockerfile
Archit
Deploy FastAPI Backend to HF Space
96ac3c1
Raw
History Blame Contribute Delete
1.04 kB
# Use the official Python 3.11 slim image
FROM python:3.11-slim
# Set working directory
WORKDIR /app
# Install system dependencies required for OpenCV and other ML libraries
RUN apt-get update && apt-get install -y \
libgl1 \
libglib2.0-0 \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements file first to leverage Docker cache
COPY requirements.txt .
# Install Python dependencies
# Using --no-cache-dir to keep the image size small
RUN pip install --no-cache-dir --upgrade pip && \
pip install --no-cache-dir -r requirements.txt
# Hugging Face Spaces require running as a non-root user (UID 1000)
RUN useradd -m -u 1000 user
USER user
# Set environment variables
ENV HOME=/home/user \
PATH=/home/user/.local/bin:$PATH \
PYTHONUNBUFFERED=1
# Copy the rest of the application code
COPY --chown=user:user . .
# Expose port 7860, which is the default for Hugging Face Spaces
EXPOSE 7860
# Command to run the FastAPI application using uvicorn
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]