Dockerfile

# Use an official Python runtime as a parent image
FROM python:3.10-slim

# Set the working directory in the container
WORKDIR /app

# Install system dependencies required by Playwright/crawl4ai
# Based on Playwright's recommendations for Debian/Ubuntu
RUN apt-get update && apt-get install -y --no-install-recommends \
    # Base dependencies
    wget \
    gnupg \
    # Playwright browser dependencies (Chromium)
    libnss3 \
    libatk1.0-0 \
    libatk-bridge2.0-0 \
    libcups2 \
    libdrm2 \
    libdbus-1-3 \
    libxkbcommon0 \
    libatspi2.0-0 \
    libx11-6 \
    libxcomposite1 \
    libxdamage1 \
    libxext6 \
    libxfixes3 \
    libxrandr2 \
    libgbm1 \
    libpango-1.0-0 \
    libcairo2 \
    libasound2 \
    # Clean up
    && rm -rf /var/lib/apt/lists/*

# Copy the requirements file into the container at /app
COPY requirements.txt .

# Install Python dependencies
# Using --no-cache-dir reduces image size slightly
RUN pip install --no-cache-dir -r requirements.txt

# Run crawl4ai post-installation setup (installs browser binaries)
RUN crawl4ai-setup

# Copy the rest of the application code into the container at /app
COPY . .

# Make port specified by Hugging Face (usually 7860 or 8080) available
# Use PORT environment variable, default to 7860 if not set
ARG PORT=7860
EXPOSE ${PORT}

# Define environment variable to ensure Python output is sent straight to logs
ENV PYTHONUNBUFFERED=1

# Command to run the application using Gunicorn
# Listen on all interfaces (0.0.0.0) on the port specified by HF
CMD ["gunicorn", "--conf", "gunicorn.conf.py", "main:app"]