Dockerfile

# Use Python 3.9 slim image for better compatibility with Hugging Face
FROM python:3.9-slim

# Set environment variables
ENV PYTHONUNBUFFERED=1
ENV DEBIAN_FRONTEND=noninteractive
ENV PORT=7860

# Install system dependencies required for OCR
RUN apt-get update && apt-get install -y \
    tesseract-ocr \
    tesseract-ocr-eng \
    tesseract-ocr-fra \
    tesseract-ocr-deu \
    tesseract-ocr-spa \
    tesseract-ocr-ita \
    tesseract-ocr-por \
    tesseract-ocr-rus \
    tesseract-ocr-ara \
    tesseract-ocr-hin \
    libtesseract-dev \
    libgl1-mesa-glx \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libgomp1 \
    libgcc-s1 \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/*

# Set working directory
WORKDIR /app

# Copy requirements first for better Docker layer caching
COPY requirements.txt .

# Install Python dependencies
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir -r requirements.txt

# Copy the application code
COPY . .

# Create a non-root user for security (Hugging Face best practice)
RUN useradd -m -u 1000 user
RUN chown -R user:user /app
USER user

# Expose the port that Hugging Face expects
EXPOSE 7860

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
    CMD curl -f http://localhost:7860/health || exit 1

# Start the application
CMD ["python", "app.py"]