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b2b6341 4e70eb5 b2b6341 5e719b7 b2b6341 5e719b7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | # Use an official Python runtime as a parent image
FROM python:3.11-slim
# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV PYTHONPATH=/app
# Set work directory
WORKDIR /app
# Install system dependencies required for FAISS, Pillow, and other ML libraries
RUN apt-get update && apt-get install -y \
build-essential \
libgomp1 \
libgl1 \
libglib2.0-0 \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements file first to leverage Docker cache
COPY requirements.txt .
# Install Python dependencies
# We use --no-cache-dir to keep the image size small
RUN pip install --no-cache-dir -r requirements.txt
# Copy the entire backend directory into the container
# Since docker builds from root context, we map backend/ -> /app/backend
COPY backend/ ./backend/
# Create necessary data directories (so they exist for the app)
RUN mkdir -p /app/data/uploaded_files /app/data/faiss_index /app/models
# Expose the port Hugging Face expects (7860)
EXPOSE 7860
# Command to run the application on port 7860
CMD ["uvicorn", "backend.main:app", "--host", "0.0.0.0", "--port", "7860"]
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